Headshot of Gagan Bansal

Gagan Bansal

Senior Researcher, Microsoft Research

Bio

Gagan Bansal (he/him) is a researcher at Microsoft Research, Redmond where he conducts interdisciplinary research on Artificial Intelligence and Human-Computer Interaction. His research broadly focuses on enabling human-AI interactions that help augment human performance. This involves evaluating, understanding, and improving these interactions via better interfaces or models. Initially, his work was focused on interaction with classifiers, however, recently, his focus has shifted towards interaction with generative AI, specifically Large Language Models (LLMs) and LLM-based agents. He played key roles in creation and maintenance of AutoGen, a widely used open-source framework for developing multi-agent applications, and AutoGen Studio, a popular low-code interface for authoring multi-agent workflows.

At Microsoft Research, he is part of the Human-AI eXperiences Team and AI Frontiers. Prior to joining MSR in 2022, he graduated with a Ph.D in Computer Science from University of Washington, Seattle where he was advised by Dan Weld and was a part of the UW Lab for Human-AI Interaction. While working on his Ph.D, he did two research internships at Microsoft Research with Besmira Nushi, Ece Kamar, and Eric Horvitz. Prior to joining UW in 2015, he completed his B.Tech in Computer Science from IIT Delhi where he worked with Mausam on Natural Language Processing.

Checkout select projects and publications below.

Select Publications

Students

I have had the opportunity to advise incredibly talented students during my time at UW and Microsoft.

Interns at Microsoft

Students at UW