Portrait of Sumit Gulwani

Sumit Gulwani

Partner Research Manager


Sumit Gulwani is a computer scientist connecting ideas, people, and research with practice. He is the inventor of several intent-understanding, programming-by-example, and programming-by-natural-language technologies including the popular Flash Fill feature (opens in new tab) in Excel used by hundreds of millions of people (which has now also found its place in middle-school computing textbooks). He leads the PROSE research and engineering team (opens in new tab) at Microsoft that develops APIs for program synthesis and has incorporated them into various Microsoft products including Visual Studio, Office, Notebooks, PowerQuery, PowerApps, PowerAutomate, Powershell, and SQL. Here’s a 3-min video introduction:

Sumit has co-authored 11 award-winning papers (including 3 test-of-time awards from ICSE and POPL) amongst 150+ research publications across multiple computer science areas and delivered 65+ keynotes/invited talks. He was awarded the Max Planck-Humboldt medal (opens in new tab) in 2021 and the ACM SIGPLAN Robin Milner Young Researcher Award (opens in new tab) in 2014 for his pioneering contributions to program synthesis and intelligent tutoring systems. He obtained his PhD in Computer Science from UC-Berkeley, and was awarded the ACM SIGPLAN Outstanding Doctoral Dissertation Award. He obtained his BTech in Computer Science and Engineering from IIT Kanpur, and was awarded the President’s Gold Medal.

Sumit is a strong believer in the power of cultural transformation. He articulated the 4-big bets (opens in new tab) culture for his team (customer connection, blended research and engineering, cross-disciplinary research, and foundational framework-based research). He is a sponsor of storytelling (opens in new tab) trainings and initiatives within Microsoft. He has started a novel research fellowship program (opens in new tab) in India, a remote apprenticeship model that aspires to nurture scientific talent in diverse communities, while bringing in the critical mass to accelerate disruptive science.