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By Grace Stanley

Employers often use workplace tracking apps to monitor frontline home health care workers, such as personal care aides, home health aides and certified nursing assistants. A team of Cornell researchers is exploring how these technologies can be used not to surveil workers, but to help them build solidarity and improve their working conditions.

The study, “Exploring Data-Driven Advocacy in Home Healthcare Work,” received a Best Paper award at the Association for Computing Machinery’s Conference on Human Factors in Computing Systems (CHI ’25), which took place April 26-May 1 in Yokohama, Japan. The project included researchers at Cornell Tech, the Cornell Ann S. Bowers College of Computing and Information Science (Cornell Bowers CIS), Weill Cornell Medicine and the ILR School.

“Home health care workers are a vital part of the U.S. health care system, yet their voices are too often overlooked. With this research, we aim to investigate ways to harness the power of data collected by these workers, not just to document their challenges, but to elevate their stories, build solidarity among workers, and advocate for improved working conditions and meaningful change,” said Nicola Dell, co-author of the paper and associate professor of information science at Cornell Tech.

Dell is also an associate professor with the Joan and Irwin Jacobs Technion-Cornell Institute and Cornell Bowers CIS, as well as the director of technology innovation for the Home Care Initiative.

Read more at the Cornell Chronicle.

Grace Stanley is a staff writer-editor for Cornell Tech.


Thirty-four research papers authored by faculty and students from the Department of Information Science in the Cornell Ann S. Bowers College of Computing and Information Science (Cornell Bowers CIS) were honored or featured at the 2025 ACM CHI Conference on Human Factors in Computing Systems (CHI), held recently in Yokohama, Japan. CHI is the premier international venue for research in human-computer interaction (HCI), drawing scholars and practitioners from around the world.

Representing both the Cornell Tech and Ithaca campuses, the Cornell contributions spanned a wide range of topics – from AI and accessibility to design innovation and digital well-being – underscoring the university’s leadership in advancing the field of HCI.

A highlight of the conference was the induction of Wendy Ju, associate professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS, into the ACM SIGCHI Academy Class of 2025. This prestigious honor recognizes her pioneering contributions in the field of human-computer interaction.

The ACM SIGCHI Academy is an honorary group of individuals who have made substantial contributions to the field of HCI. It is part of the Association for Computing Machinery’s Special Interest Group on Computer-Human Interaction, one of the world’s largest communities of HCI professionals. Cornell now has four CHI academy members: Wendy Ju, Phoebe Sengers, Susan Fussell, and Tanzeem Choudhury.

Read more about Professor Ju’s achievement in this news story.

Recognized Papers:

The papers and recognitions of faculty and students from both the Ithaca and Cornell Tech campuses are below:

Editor’s Note: Only Cornell-affiliated authors are listed below. Please refer to the individual papers for the full list of contributors.

Best Paper Award:

“Don’t Forget the Teachers”: Towards an Educator-Centered Understanding of Harms from Large Language Models in Education

  • Rene Kizilcec, associate professor of information science, Cornell Bowers CIS
  • Allison Koenecke, assistant professor of information science, Cornell Bowers CIS
  • Emma Harvey, doctoral student in the field of information science

 

Exploring Data-Driven Advocacy in Home Health Care Work

  • Ariel C. Avgar, professor, ILR School
  • Nicola Dell, associate professor of information science, Cornell Tech, the Joan and Irwin Jacobs Technion-Cornell Institute, and Cornell Bowers CIS
  • Joy Ming, doctoral student in the field of information science
  • Chit Sum Eunice Ngai ’24
  • Madeline Sterling, associate professor of medicine, Weill Cornell Medicine
  • Hawi H Tolera ’25
  • Jiamin Tu, M.S. ’24
  • Ella Yitzhaki ’24
  • Aditya Vashistha, assistant professor of information science, Cornell Bowers CIS

 

Towards Hormone Health: An Autoethnography of Long-Term Holistic Tracking to Manage PCOS

  • Daye Kang, doctoral student in the field of information science
  • Gille Leshed, Senior Lecturer and the Director of the MPS program in the Department of Information Science, Cornell Bowers CIS
  • Jeffrey M Rzeszotarski, assistant professor of information science, Cornell Bowers CIS​

 

Honorable Mention:

Beyond Code Generation: LLM-supported Exploration of the Program Design Space

  • Qian Yang, assistant professor of information science, Cornell Bowers CIS​

 

BrickSmart: Leveraging Generative AI to Support Children’s Spatial Language Learning in Family Block Play

  • Chao Zhang, doctoral student in the field of information science

 

“I Need Your Help!” : Facilitating Psychological Communication Between Left-Behind Children and Their Parents with an AI-Powered Sandbox

  • Chao Zhang, doctoral student in the field of information science

 

Shape-Kit: A Design Toolkit for Crafting On-Body Expressive Haptics

  • Daniel Leithinger, Design Tech Innovation Fellow, Cornell APP

 

SplatOverflow: Asynchronous Hardware Troubleshooting

  • Ritik Batra, doctoral student in the field of information science
  • François Guimbretière, a professor of information science, Cornell Bowers CIS
  • Peter He ’27
  • Amritansh Kwatra, doctoral student in the field of information science
  • Thijs Roumen, assistant professor of information science at Cornell Tech and Cornell Bowers CIS, and Director of Matter of Tech Lab
  • Tobias Weinberg, doctoral student in the field of information science
  • Ilan Mandel, doctoral student in the field of information science

 

Why So Serious? Exploring Timely Humorous Comments in AAC Through AI-Powered Interfaces (also received Jury Best Demo honors)

  • Ricky Gonzalez, doctoral student in the field of information science
  • Kowe Kadoma, doctoral student in the field of information science
  • Thijs Roumen, assistant professor of information science at Cornell Tech and Cornell Bowers CIS
  • Tobias Weinberg, doctoral student in the field of information science

 

Additional Papers:

AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content

  • Travis Lloyd, doctoral student in the field of information science
  • Jennah Gosciak, doctoral student in the field of information science
  • Tung Nguyen
  • Mor Naaman, the Don and Mibs Follett professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS

 

AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances

  • Dhruv Agarwal, doctoral student in the field of information science
  • Mor Naaman, the Don and Mibs Follett professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS
  • Aditya Vashistha, assistant professor of information science, Cornell Bowers CIS

 

ARticulate: Interactive Visual Guidance for Demonstrated Rotational Degrees of Freedom in Mobile AR

  • Abe Davis, assistant professor of computer science, Cornell Bowers CIS
  • Nhan Tran, doctoral student in the field of computer science
  • Ethan Yang, doctoral student in the field of computer science

 

ASHABot: An LLM-Powered Chatbot to Support the Informational Needs of Community Health Workers

  • Aditya Vashistha, assistant professor of information science, Cornell Bowers CIS

CharacterCritique: Supporting Children’s Development of Critical Thinking through Multi-Agent Interaction in Story Reading

  • Chao Zhang, doctoral student in the field of information science

 

Decoding Driver Intention Cues: Exploring Non-verbal Communication for Human-Centered Automotive Interfaces

  • Ilan Mandel, doctoral student in the field of information science
  • Wendy Ju, associate professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS

 

Designing Technologies for Value-based Mental Healthcare: Centering Clinicians’ Perspectives on Outcomes Data Specification, Collection, and Use

  • Daniel A. Adler, doctoral student in the field of information science
  • Yuewen Yang, M.S. ’25
  • Thalia Viranda, doctoral student in the field of information science
  • Emma Elizabeth McGinty, Livingston Farrand Professor of Population Health Sciences, Weill Cornell Medicine
  • Tanzeem Choudhury, Roger and Joelle Burnell Professor in Integrated Health and Technology, Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS

 

Digital Technologies and Human Trafficking: Combating Coercive Control and Navigating Digital Autonomy

  • Thomas Ristenpart, professor of computer science, Cornell Tech and Cornell Bowers CIS
  • Lana Ramjit, director of the Clinic to End Tech Abuse at Cornell Tech
  • Nicola Dell, associate professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS

 

The Effects and Non-Effects of Social Sanctions from User Jury-Based Content Moderation Decisions on Weibo

  • Will Hobbs, Lois and Mel Tukman Assistant Professor, College of Human Ecology
  • Andy Zhao, doctoral student in the field of information science

 

Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health

  • Xingbo Wang, postdoctoral associate, Weill Cornell Medicine
  • Janessa Griffith, postdoctoral associate, Cornell Tech
  • Daniel A. Adler, doctoral student in the field of information science
  • Joey Castillo, technologist in residence, Cornell Tech
  • Tanzeem Choudhury, Roger and Joelle Burnell Professor in Integrated Health and Technology, Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS
  • Fei Wang, assistant professor of healthcare policy and research, Weill Cornell Medicine

 

Friction: Deciphering Writing Feedback into Writing Revisions through LLM-Assisted Reflection

  • Peter Bidoshi ’27
  • Kexin Phyllis Ju, master’s student in the field of information science
  • Jeffrey M Rzeszotarski, assistant professor of information science, Cornell Bowers CIS​
  • Chao Zhang, doctoral student in the field of information science

 

Generative AI and Perceptual Harms: Who’s Suspected of using LLMs?

  • Kowe Kadoma, doctoral student in the field of information science
  • Mor Naaman, the Don and Mibs Follett professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS

 

“Ignorance is not Bliss”: Designing Personalized Moderation to Address Ableist Hate on Social Media

  • Shiri Azenkot, associate professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS
  • Aditya Vashistha, assistant professor of information science, Cornell Bowers CIS
  • Sharon Heung, doctoral student in the field of information science
  • Lucy Jiang, M.S. ’24

 

Large Language Models in Qualitative Research: Uses, Tensions, and Intentions

  • Marianne Aubin Le Quéré, doctoral student in the field of information science
  • David Mimno, associate professor and chair of the Department of Information Science, Cornell Bowers CIS

 

LivingLoom: Investigating Human-Plant Symbiosis through Integrating Living Plants into (E-)Textiles

  • Samantha Chang ’26
  • Cindy Hsin-Liu Kao, associate professor, College of Human Ecology and field member in the Department of Information Science in Cornell Bowers CIS
  • Jingwen Zhu, doctoral student in the field of human centered design

 

Modeling the Impact of Visual Stimuli on Redirection Noticeability with Gaze Behavior in Virtual Reality

  • Tianqi Liu, doctoral student in the field of information science

 

Oral History and Qualitative Analysis with Youth: A Method for Cultivating Attachments

  • Tapan Parikh, associate professor of information science, Cornell Tech and Cornell Bowers CIS

 

Proxona: Supporting Creators’ Sensemaking and Ideation with LLM-Powered Audience Personas

  • Eun Jeong Kang, doctoral student in the field of information science

 

Shifting the Focus: Exploring Video Accessibility Strategies and Challenges for People with ADHD

  • Shiri Azenkot, associate professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS
  • Shirley Yuan, doctoral student in the field of information science
  • Woojin Ko, doctoral student in the field of computer science

 

The People Behind the Robots: How Wizards Wrangle Robots in Public Deployments

  • Frank Bu, doctoral student in the field of computer science
  • Wendy Ju, associate professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS

 

The Robotability Score: Enabling Harmonious Robot Navigation on Urban Streets

  • Matt Franchi, a doctoral student in the field of computer science
  • Maria Teresa Parreira, a doctoral student in the field of information science
  • Frank Bu, a doctoral student in the field of computer science
  • Wendy Ju, associate professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS

 

SpellRing: Recognizing Continuous Fingerspelling in American Sign Language using a Ring

  • François Guimbretière, professor of information science, Cornell Bowers CIS
  • Cheng Zhang, assistant professor of information science, Cornell Bowers CIS
  • Nam Anh Dang ’27
  • Dylan Lee ’25
  • Tianhong Catherine Yu, doctoral student in the field of information science

 

Should Voice Agents Be Polite in an Emergency? Investigating Effects of Speech Style and Voice Tone in Emergency Simulation

  • Susan R. Fussell, professor, Cornell Bowers CIS
  • Jieun Kim, doctoral student in the field of information science

 

Understanding User Perceptions and the Role of AI Image Generators in Image Creation Workflows

  • Susan R. Fussell, professor, Cornell Bowers CIS
  • Shu-Jung Han, doctoral student in the field of information science

 

“Who is running it?” Towards Equitable AI Deployment in Home Care Work

  • Ariel C. Avgar, professor, ILR School
  • Nicola Dell, associate professor of information science at Cornell Tech, the Jacobs Technion-Cornell Institute, and Cornell Bowers CIS
  • Joy Ming, doctoral student in the field of information science
  • Madeline Sterling, associate professor of medicine, Weill Cornell Medicine
  • Ian René Solano-Kamaiko, doctoral student in the field of information science
  • Melissa Tan, M.S. ’25
  • Aditya Vashistha, assistant professor of information science, Cornell Bowers CIS

By Bridget Kuehn

Weill Cornell Medicine has received a projected $4 million grant from the National Cancer Institute, part of the National Institutes of Health, to conduct a clinical trial testing whether a new imaging approach could reduce the need for biopsies to monitor prostate cancer.

The five-year grant, with a possible two-year extension, will evaluate whether adding an imaging modality called Prostate Specific Membrane Antigen (PSMA) Positron Emission Tomography (PET) Computed Tomography (CT) to active surveillance regimens can rule out the presence of cancer that requires treatment. PSMA-PET CT uses a radioactive diagnostic agent to detect a protein that is found on the surface of prostate cells and at higher levels on prostate cancer cells. The technique is already used to detect the spread of cancer in men with high-risk prostate cancers and cancer recurrence in men who are in remission.

“We hope to use PSMA-PET CT as a less invasive and less costly alternative to biopsy in men undergoing active surveillance for low or moderate-risk prostate cancers,” said the study’s principal investigator Dr. Timothy McClure, an assistant professor of urology and radiology in the Division of Interventional Radiology at Weill Cornell Medicine.

Prostate cancer is the second leading cause of cancer death in men in the United States. Yet, most older men diagnosed with prostate cancer have slow-growing, low-risk cancers that will not harm them during their lifetime. Rather than subject these men to surgery or radiation that may cause harmful side effects, most physicians recommend active surveillance instead.

These men undergo regular blood tests measuring prostate-specific antigen (PSA) levels, magnetic resonance imaging and biopsies to ensure that their cancer has not progressed into a more dangerous form. However, repeated biopsies can lead to infection, urination difficulties and other symptoms, causing many to stop monitoring their cancer.

Dr. McClure and his colleagues in the Molecular Imaging and Therapeutics division of the Department of Radiology and the Department of Pathology at Weill Cornell Medicine will test whether adding PSMA-PET CT can help improve the sensitivity and specificity of prostate cancer monitoring while reducing screening-related harms. The researchers will assign 200 men with low- or intermediate-risk prostate cancer who have opted for active surveillance to receive usual active surveillance protocol plus PSMA-PET CT. The trial will enroll patients at NewYork-Presbyterian/Weill Cornell Medical Center and four other sites. In addition to the NCI grant, the study is also receiving support from Lantheus, the company that produces a diagnostic agent used in PSMA-PET CT.

Dr. McClure is also teaming up with Dr. Mert Sabuncu, vice chair of radiology research and a professor of electrical engineering in radiology at Weill Cornell Medicine, to develop a machine learning algorithm that can predict which patients with prostate cancer will progress to a stage requiring treatment. Dr. Sabuncu is also a professor in the School of Electrical and Computer Engineering at Cornell University’s Ithaca campus and Cornell Tech. Additionally, genomic data from the PSA blood tests will help identify genetic signatures indicating a patient at greater risk who may benefit from earlier therapy rather than active monitoring.

“Our trial leverages cross-sector collaboration to innovate and streamline care for patients with prostate cancer,” said Dr. McClure, who is also a urologist at NewYork-Presbyterian/Weill Cornell Medical Center. “We hope to develop alternatives for prostate cancer surveillance that help us more effectively stratify which patients need treatment.”

Many Weill Cornell Medicine physicians and scientists maintain relationships and collaborate with external organizations to foster scientific innovation and provide expert guidance. The institution makes these disclosures public to ensure transparency. For this information, see profile for Dr. Timothy McClure.

The research described in this study is supported in part by the National Cancer Institute, part of the National Institutes of Health, through grant number 5R37CA282407.

Bridget Kuehn is a freelance writer for Weill Cornell Medicine.


By Grace Stanley

Imprint, an organization founded at Cornell Tech that is dedicated to decoding the body’s immune memory and uncovering the causes of chronic diseases, announced that it has raised over $15 million in funding.

Imprint’s journey began in 2019 when its founder, Beck Brachman, was accepted into Cornell Tech’s Runway Postdoc Program, a startup incubator within the Joan and Irwin Jacobs Technion-Cornell Institute. The Runway program helps postdocs, those who recently received their doctoral degrees, transition from an academic mindset to an entrepreneurial outlook. Participants receive substantial support, including a salary, research budget, housing allowance, mentorship from academic and business experts, and access to selected university resources.

The Runway Program has been instrumental in launching over 120 startups. These startups have collectively raised over $375 million in private funding and created more than 500 jobs in New York City. Notable startups include Nanit, OnsiteIQ, and Biotia.

“Imprint exemplifies the kind of bold, translational science we champion at Cornell Tech’s Runway Program — science that moves beyond the lab to deliver real impact,” said Fernando Gómez-Baquero, director of the Runway Startup Postdoc and Spinout Program at Cornell Tech’s Jacobs Institute, and member of Imprint’s Board of Directors.

Imprint, a nonprofit Focused Research Organization (FRO) supported by Convergent Research, aims to pioneer new experimental and machine learning technologies to uncover the hidden causes of chronic diseases, including autoimmune diseases, long COVID, and neuropsychiatric disorders. The $15 million in funding will be used to establish Imprint’s high-throughput data generation pipeline, build its first computational tool, and pilot disease applications. The investment comes from notable backers, including philanthropists Eric and Wendy Schmidt, Peter Reinhart, and the New York City Economic Development Corporation (NYCEDC).

“We may not know what’s causing chronic disease – but the immune system probably does,” said Brachman, CEO and co-founder of Imprint, last month from the TED stage. “In addition to being an army, the immune system is also an archive. We founded Imprint on the thesis that the immune system’s historical archive can be accessed and translated to identify unknown causes of chronic disease, enabling the development of diagnostics, treatments, and even cures.”

Imprint’s “forensic immunology” approach aims to unlock the secrets held within memory immune cells, which contain an archive of all the immune exposures a person has had throughout their life. This history of diseases and their hidden triggers exists in the human body, but is challenging to locate and decipher. Imprint is working to develop experimental and computational immunology tools to uncover this information.

“By decoding the immune system’s memory, Imprint is unlocking a frontier of discovery that could change how we diagnose, treat, and even prevent chronic disease,” said Gómez-Baquero. “We’re proud to have helped Dr. Brachman catalyze this vision and to support the computational and scientific infrastructure that will drive a deeper understanding of autoimmune and neuropsychiatric disorders.”

As a part of this new funding, the NYCEDC has awarded a grant to Imprint through the LifeSci NYC Expansion Fund. This fund aims to support rapidly growing life sciences companies that want to expand in New York City. The LifeSci NYC Expansion Fund is part of the broader LifeSci NYC initiative, a $1 billion project managed by NYCEDC to establish New York City as a global leader in life sciences and create 40,000 jobs over the next 15 years.

“New York City is cementing itself as a global leader in life sciences and paving the way for cutting-edge innovation — like the work happening at Imprint — to emerge right here in the heart of the city,” said Cecilia Kushner, NYCEDC’s chief strategy officer. “We are proud to support trailblazing companies like Imprint whose groundbreaking work will help accelerate scientific discovery and life science jobs in NYC, while uncovering the cause of chronic diseases and enabling people all around the globe to live longer.”

Grace Stanley is the staff writer-editor at Cornell Tech.


By Grace Stanley

A team of researchers from Cornell Tech is reimagining how technology can support users with speech disabilities – not just in functional speech, but also in making real-time jokes during conversations.

The research explores how artificial intelligence interfaces can help users of augmentative and alternative communication (AAC) technology deliver witty remarks while talking with others – a way of communicating that’s often made impossible by the slow pace of traditional AAC systems.

“Humor is a crucial form of social interaction and is usually taken as a trivial thing. But for someone with a speech impairment, it is not trivial to match the timing of the conversation,” said the paper’s lead author, Cornell Tech Ph.D. student Tobias Weinberg, who lost his ability to speak at 15 and now uses AAC technology. “Losing my ability to speak from one month to the next, I had to learn to reshape my humor to this new form of communication. This research tries to channel that experience.”

Read more at the Cornell Chronicle.

Grace Stanley is a staff writer-editor for Cornell Tech.


By Grace Stanley

With the development of AI writing assistants like ChatGPT and Microsoft Copilot, large language models (LLMs) are now used in various writing professions to generate ideas and work more efficiently.

But are there negative associations or potential professional backlash for writers wrongfully (or rightfully) suspected of using AI? Does this suspicion vary based on the writer’s race, gender or nationality?

A new study by researchers at Cornell Tech and the University of Pennsylvania shows freelance writers who are suspected of using AI have worse evaluations and hiring outcomes. Freelancers whose profiles suggested they had East Asian identities were more likely to be suspected of using AI than profiles of white Americans. And men were more likely to be suspected of using AI than women.

Read more at the Cornell Chronicle.

Grace Stanley is a staff writer-editor for Cornell Tech.


By Grace Stanley

Four Cornell Tech student teams were awarded $100,000 each from Cornell during Cornell Tech’s annual Startup Awards competition May 16 on the New York City campus. The winning companies are CreditQuant AI, gymii.ai, Polyrook and SAIL.

Around 1,000 students, university leaders, entrepreneurs and tech executives gathered to hear the teams pitch ideas developed in Cornell Tech’s Studio program. The startups spanned industries from AI to digital health, law, finance and entertainment.

The Startup Awards are a capstone of the Studio curriculum, a critical component of the master’s degree program. In their final semester, students can choose to form teams and enroll in Startup Studio, where they develop ideas and prototypes for a startup in an academic setting.

Eleven teams competed for the $100,000 investment, studio space and ongoing mentorship to transform their pre-seed stage companies into thriving businesses in New York City. Judges included Andrew Ross Sorkin ’99, New York Times columnist, author, producer and co-anchor of CNBC’s Squawk Box, who announced the winners.

  • CreditQuant AI, an AI commercial credit risk tool that can parse financials, calculate risk ratios, and draft credit memos for faster, sharper lending decisions, founded by master’s student Adam Liu, MBA ‘25. CreditQuant AI achieves higher precision in risk assessment through advanced historical data analysis, reducing underwriting time and saving costs. The tool computes essential financial and credit risk metrics across liquidity, leverage, profitability, margins, and more. It serves commercial banks, credit unions, private credit funds, and fintech lenders alike.
  • gymii.ai, a next-gen nutrition tracking app where users can instantly analyze meals, explore a vibrant social feed, discover fun facts, and compete in streaks, founded by master’s students Selina Li, Computer Science ‘25, Zach Zhong, Computer Science ‘25, and Alex Taic, MBA ‘25. Users can take a picture or video of a meal and get a breakdown of calories, macros, and portion sizes. The app combines vision language models with internet-scale knowledge and trusted nutrition databases to deliver comprehensive nutritional information, even for complex dishes. The app launched with 800+ users and was endorsed by nine pro athletes and Olympians.
  • Polyrook, a solution that leverages AI to generate fully customizable 3D environments for games and films, enabling creators to build and iterate immersive worlds in seconds, founded by master’s students Zachary Decker, Computer Science ‘25, and Jeremy Yanyang Lu, Computer Science ‘25. On Polyrook, users can create assets from text or images, configure them to different styles, textures, and themes, and alter the layout of generated 3D scenes. Polyrook aims to make 3D creation faster and less expensive for creators, whether they are indie game developers or Hollywood studios.
  • SAIL, an AI-native trade compliance product that helps track tariffs in an era of rapidly shifting trade policy, founded by master’s students Chansam Kim, MBA ‘25, Olivia Mei, Computer Science ‘25, William J. Reid, Health Tech ‘25, and Salik Tehami, MBA ‘25. SAIL automates Harmonized Tariff Schedule (HTS) classification, duty optimization, and regulatory monitoring. The product strives to transform manual, error-prone processes into a seamless, audit-ready workflow.

A runner-up was also selected: Reforma, an AI personal trainer for boutique fitness that delivers personalized form correction and performance tracking using computer vision, founded by master’s student Courtney Clapper, MBA ‘25. Although Reforma will not receive investment funding, the team will receive office space and mentorship through Cornell Tech’s Runway Program.

“It has been incredible to watch our students collaborate to create innovative solutions addressing real-world challenges across a wide variety of fields,” said Greg Morrisettthe Jack and Rilla Neafsey Dean and Vice Provost of Cornell Tech, also a member of the jury. “This annual event not only celebrates these students’ achievements, but also our culture of creativity as well as our tangible impact. I am confident that this year’s winners will make significant contributions to New York City and the world.”

The Studio program is led by Chief Practice Officer Josh Hartmann and Startup Studio instructors Jenny Fielding, Sam Dix and Alberto Escarlate, who all served on the jury.

In addition to Sorkin, Morrisett, Hartmann, Dix, Escarlate, and Fielding, this year’s panel of judges included Momo Bi, partner, Watershed Ventures; Amanda Eilian, co-founder and partner, __able; Fernando Gómez-Baquero, director of Runway and Spinouts, Jacobs Institute and Cornell Tech; Howard Morgan Ph.D. ’68, chairman, B-Capital Group, chairman, Cornell Tech Council, and co-vice chair, Cornell University Board of Trustees; and Jason Scott, founder and managing partner, Five Two Five. Fielding is co-founder and managing partner of Everywhere Ventures; Dix is founder of aThereThere; and Escarlate is co-founder/CTO of Tough Day.

“Watching students grow from pitching rough concepts to leading real companies is one of the most rewarding parts of this program. These teams are ready to scale their visions into lasting ventures,” said Hartmann. “The companies launched here go beyond the classroom, creating jobs, attracting investment and helping people live better lives.”

The Startup Awards are a launchpad for the next generation of tech leaders poised to make a significant impact both in New York City and beyond, Hartmann said. A total of 61 companies have received the award.

Overall, Cornell Tech – and through Startup Studio and the Runway Startup Postdocs program at the Jacobs Technion-Cornell Institute – has launched nearly 120 companies, which have generated a collective valuation of more than $700 million. Many have chosen to stay locally post-graduation, creating over 500 jobs in New York City since the programs began.

Other finalists that competed for this year’s Startup Awards included Arcta, FixwareLivinit, MagNet Agents, Occazio, and Prinx.

About Cornell Tech

Cornell Tech is Cornell University’s state-of-the-art campus in New York City that develops leaders and technologies for the AI era through foundational and applied research, graduate education, and new ventures. Located on Roosevelt Island, the growing campus was founded in partnership with the Technion-Israel Institute of Technology and in close collaboration with the NYC Economic Development Corporation after Cornell won a worldwide competition initiated by Mayor Michael R. Bloomberg’s administration to create an applied sciences campus in New York City. More than 1,000 Cornell students are now educated annually on the campus, including 700 in Cornell Tech programs. Since opening in 2012, nearly 120 new companies have spun out from startup programs at Cornell Tech, and 95 percent of them are based in New York City. Cornell Tech continues to have a transformative economic impact on the region’s tech sector.

Update June 24, 2025: After the startup awards presentation, Polyrook, one of the named winners, had to decline the award due to a status change post event that affected its eligibility.

Grace Stanley is a staff writer-editor for Cornell Tech.


By Grace Stanley

People with disabilities experience high levels of harassment online, including microaggressions and slurs. However, social media platforms frequently fail to address reports of disability-based harassment and offer only limited tools that simply hide hateful content.

New Cornell research reveals that social media users with disabilities prefer more personalized content moderation powered by AI systems that not only hide harmful content but also summarize or categorize it by the specific type of hate expressed.

“Our work showed that indicating the type of content – whether it associates disability with inability, promotes eugenicist ideas, and so on – supported transparency and trust, and increased user agency,” said the paper’s co-author, Shiri Azenkot, associate professor at Cornell Tech. She is also an associate professor at the Jacobs Technion-Cornell Institute and at the Cornell Ann S. Bowers College of Computing and Information Science.

Read more at the Cornell Chronicle.


Cornell Tech leadership, alongside elected officials, faculty, students, staff, and the Roosevelt Island community, hosted an official ribbon-cutting ceremony to celebrate the opening of the campus’s new MakerLAB on May 2.

The MakerLAB facility, now located on the first floor of Cornell Tech’s Tata Innovation Center, serves as an accessible production hub for Cornell Tech students and faculty to bring their ideas to life. From 3D printing prototypes of medical devices to designing sustainable buildings and communities, the infrastructure allows startups to refine their products, students to gain hands-on experience creating real solutions to common problems, and faculty to advance their research.

Special guests included Congressman Jerry Nadler, New York City Council Member Julie Menin, New York City Economic Development Corporation Head of Innovation Jon Schulhof, and Queens Deputy Borough President Ebony Young. All of these leaders visited the campus to see how the student research is connected to the booming New York City tech ecosystem, as well as the capabilities of the facility, which include:

  • A wood shop designated for large-scale prototyping needs and assembly that requires power tools.
  • A laser room with cutting and engraving equipment for precision fabrication.
  • An electronics lab containing tools and components for electronics prototyping and development.

“The MakerLAB embodies Cornell Tech’s mission of driving new ventures and economic growth by advancing applied research,” said Greg Morrisett, Jack and Rilla Neafsey Dean and Vice Provost at Cornell Tech. “Expanding the bridge between the academic and business communities, this facility is equipped for everyone in the Cornell network — whether they’re a graduate student in electrical engineering developing innovative hardware, an MBA student launching a startup, or a Weill Cornell Medical student on the brink of introducing a new healthtech product to market. The Cornell Tech community is developing and advancing solutions that serve and benefit our community here in New York and across the country.”

The MakerLAB is part of a recent 15,000-square-foot activation within the Tata Innovation Center featured during the event. The Bridge, a collaborative workspace for entrepreneurs and innovators that opened in February, brings much-needed office space to Roosevelt Island. Companies from within the Cornell and New York City tech ecosystems have been quickly moving in, recognizing the benefit of the state-of-the-art workspace and location, as well as being immersed in Cornell Tech’s creative and innovative setting. The Bridge is already at 40 percent of its capacity and includes several startups founded by Cornell Tech alumni.

“At Cornell Tech, we’re creating an environment where ideas collide and partnerships thrive,” said Niti Parikh, Director, Learning Spaces and MakerLABs at Cornell Tech. “New York City, its nonprofits, and its creative thinkers offer a rich network for our students and collaborators to contribute to the macro-goals of the city. MakerLAB and The Bridge are more than just spaces at Cornell Tech. They support the campus mission as a catalyst fueling the engine of innovation, technology, and economic growth in New York.”

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What people are saying:

Andrew Kimball, President and CEO of the New York City Economic Development Council, said, “The opening of Cornell Tech’s MakerLAB marks a significant milestone in fostering cutting-edge innovation and nurturing the next generation of tech professionals here in New York City. This accessible space will be a hub where creativity, entrepreneurship, and learning will converge. We look forward to continuing to work with our partners at Cornell Tech to drive long-term economic benefits, spark new innovation, and create equitable career pathways to power the City’s thriving tech ecosystem.”

U.S. Congressman Jerry Nadler said, “The opening of the MakerLAB at the Tata Innovation Center is an exciting next step for Cornell Tech and also for New York City as it furthers its place as a world-class hub of innovation and development. By providing students, faculty, and entrepreneurs with prototyping tools and resources, the MakerLAB brings creative solutions to life – enabling the initial seed of an idea to be brought to reality as a refined prototype that is ready to be launched to production and market. I eagerly anticipate the novel products and research that will be incubated in this groundbreaking space.”

NYS Senator Liz Kreuger said, “The MakerLAB at Cornell Tech brings a unique and needed space for creative invention and new opportunities for research, collaboration, and economic growth to NYC. It offers a one-of-a-kind exceptional space, tools, and resources for experimentation and innovation — a tremendous benefit and boost for NYC. Kudos to the team at Cornell Tech for making it happen!”

New York City Council Member Julie Menin said, “Cornell Tech’s MakerLAB enables students, faculty, and the larger campus community to test prototypes from an initial sketch to refined products. Cornell Tech has always been a space of innovation in the tech sector, and this facility will be critical in helping the students of today and the inventors of tomorrow. This significant investment provides the tools needed to make product ideas become a reality and will further grow the tech startup industry in New York City.”

NYS Assembly Member Rebecca Seawright said, “The MakerLAB will enable students to leverage design research and transform ideas into impactful projects that will benefit communities across our state and nation. I’m proud of our continuing collaboration with Dean and Vice Provost Greg Morrisett and Cornell Tech. During the pandemic’s direst days, Cornell Tech students designed and 3D-printed face shields, which I delivered to health workers at Coler Hospital, a testament to the campus’s role as an invaluable, service-oriented stakeholder on Roosevelt Island. Today’s launch signals Cornell Tech’s ongoing commitment to deploying applied sciences in the service of public health, job creation, and economic growth.”

Queens Borough President Donovan Richards said, “The work of transforming Queens and New York City into the global leader in technology and innovation must be holistic in nature. That means investing in our future tech ecosystem just as much as we are in our current tech climate, and that’s exactly what’s being done at Cornell Tech with the launch of its new MakerLAB. As we put forth initiatives in The World’s Borough, like the creation of the Global Tech and Innovation Center and the Queens Tech and Innovation Challenge, we must do so working hand-in-hand with our tech educators to create the pipeline between our communities and the innovation sphere. With the MakerLAB, that pipeline is alive and well.”

Queens Chamber of Commerce President Tom Grech said, “As Queens’ tech sector continues to grow and thrive, having a world-class facility like this just across the river will create new opportunities for collaboration, innovation, and entrepreneurship. The MakerLAB will help students, startups, and researchers turn bold ideas into real-world solutions. We congratulate our friends at Cornell Tech, who have been an instrumental partner to the Queens Chamber in our efforts to further establish our borough and our city as a global hub for technology and innovation.”

About Cornell Tech
Cornell Tech is Cornell University’s state-of-the-art campus in New York City that develops leaders and technologies for the AI era through foundational and applied research, graduate education, and new ventures. Located on Roosevelt Island, the growing campus was founded in partnership with the Technion-Israel Institute of Technology and in close collaboration with the NYC Economic Development Corporation after Cornell won a worldwide competition initiated by Mayor Michael R. Bloomberg’s administration to create an applied sciences campus in New York City. More than 1,000 Cornell students are now educated annually on the campus, including 700 in Cornell Tech programs. Since opening in 2012, nearly 120 new companies have spun out from startup programs at Cornell Tech, and 95 percent of them are based in New York City. Cornell Tech continues to have a transformative economic impact on the region’s tech sector.


By Patricia Waldron

For delivery robots, not all sidewalks are created equal – some are uneven or clogged with people and bus shelters – so researchers at Cornell Tech developed a “robotability score” and rated every street in New York City on how hospitable it would be to robots.

Their rating system is the first of its kind, researchers said, and may help urban planners and robotics companies plan for future robot deployments that won’t disrupt existing sidewalk environments.

“I don’t know that everybody wants robots in their neighborhood, but if they do, the robotability score can help them think about, what are the features that we’ve built in to help welcome robots?” said senior author Wendy Ju, associate professor of information science at Cornell Tech, the Cornell Ann S. Bowers College of Computing and Information Science and the Jacobs Technion-Cornell Institute, and the multicollege Department of Design Tech. “We’re just trying to make those things a little bit more visible.”

Read more at the Cornell Chronicle.

Patricia Waldron is a writer for the Cornell Ann S. Bowers College of Computing and Information Science.