Aadirupa Saha

Aadirupa Saha is an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago (UIC), where she belongs to the UIC CS Theory group, and a member of the IDEAL Institute. Prior to this, she was a Research Scientist at Apple MLR, working on Machine Learning theory. She completed her postdoctoral research at Microsoft Research (NYC) and earned her PhD from the Indian Institute of Science (IISc), Bangalore.
Her primary research focuses on AI alignment through Reinforcement Learning with Human Feedback (RLHF), with applications in language models, assistive robotics, autonomous systems, and personalized AI. More broadly, she works on Machine Learning theory, including online learning, multi-armed bandits, reinforcement learning, optimization, federated learning, differential privacy, and mechanism design. Her research aims to develop robust and scalable AI models for sequential decision-making under uncertain and partial feedback.
Aadirupa has organized several workshops and tutorials in recent years, including a [NeurIPS, 2023] tutorial on Preference Learning, a [UAI, 2023] ] tutorial on Federated Optimization, two tutorials at [ECML, 2022] , [ACML, 2021], two ICML workshops [ICML, 2023] and [ICML, 2022], and two TTIC workshops [TTIC, 2023] and [TTIC, 2022]. In addition, Aadirupa has also served in several panel discussions and senior reviewing committees for major ML conferences.