LMSS @ Cornell Tech: Sameer Singh (University of California, Irvine)
Dr. Sameer Singh is an Assistant Professor of Computer Science at the University of California, Irvine (UCI). He is working primarily on robustness and interpretability of machine learning algorithms, along with models that reason with text and structure for natural language processing. Sameer was a postdoctoral researcher at the University of Washington (w/ Carlos Guestrin and late Ben Taskar) and received his PhD from the University of Massachusetts, Amherst (w/ Andrew McCallum), during which he also worked at Microsoft Research, Google Research, and Yahoo! Labs. He was selected as a DARPA Riser, and has been awarded the grand prize in the Yelp dataset challenge, the Yahoo! Key Scientific Challenges (story), UCI Mid-Career Excellence in research award, and recently received the Hellman Fellowship in 2020. His group has received funding from Amazon, Allen Institute for AI, NSF, DARPA, Adobe Research, Base 11, and FICO. Sameer has published extensively at machine learning and natural language processing conferences and workshops, including paper awards at KDD 2016, ACL 2018, EMNLP 2019, AKBC 2020, and ACL 2020.