Ayush Sekhari is an assistant professor of computer science at Cornell Tech and the Cornell Ann S. Bowers College of Computing and Information Science.
Sekhari’s research focuses on reinforcement learning and interactive learning, with the goal of developing machine learning systems that learn efficiently from experience, adapt to new environments, and acquire new capabilities. His work spans reinforcement learning, optimization, machine unlearning and privacy, and AI for science, drawing on both theoretical and empirical methods.
Prior to joining Cornell Tech, Sekhari was a senior research scientist at the Chan Zuckerberg Biohub, where he worked on AI models for the biological sciences and explored how advances in machine learning can support scientific discovery. He previously held a postdoctoral position at the Massachusetts Institute of Technology and earned his Ph.D. in computer science from Cornell University.