Udit Gupta is an assistant professor of electrical and computer engineering at Cornell Tech, Cornell Engineering, and the Jacobs Technion-Cornell Institute. His research lies at the intersection of computer architecture, systems, machine learning, and environmental sustainability. He focuses on co-designing solutions across the computing stack — including applications, algorithms, systems, architecture, circuits, and devices — to enhance the performance, efficiency, and sustainability of emerging technologies.
Gupta’s work emphasizes practical impact, interdisciplinary collaboration, and pathfinding. He led the characterization of industry-scale neural personalized recommendation models, shaping future AI hardware design and specialized systems research.
His team has developed open-source benchmarks and tools, now standardized in community efforts like MLPerf. Using these benchmarks, he has co-designed hardware and software systems that enable high-performance, efficient, and scalable AI, resulting in significant industry-wide resource savings. His research also underscores the importance of integrating environmental sustainability as a core principle in systems design, identifying key challenges and opening new research avenues.
His work has been featured in Bloomberg Green, the Guardian, and CNBC. He has received accolades, including IEEE Micro Top Picks in 2022 and 2023, as well as an Honorable Mention in 2021. His research earned best paper nominations at PACT 2019 and DAC 2018. His dissertation was recognized with the SIGARCH Outstanding Ph.D. Dissertation Honorable Mention in 2023 and the MICRO Outstanding Ph.D. Dissertation Honorable Mention, the same year. Gupta holds a Ph.D. in computer science from Harvard University and a B.Sc. in electrical and computer engineering from Cornell University.