About Me
I’m a PhD student at the University of Washington advised by Martin Saveski. My research interests are broadly within Computational Social Science, and span several topics including pluralistic alignment, scalable oversight and algorithms with pro-social objectives. Previously, I was a Visiting Student Researcher and Research Scientist Intern at Meta Superintellience Labs (FAIR) under Smitha Milli and Max Nickel, and a Research Intern at Microsoft Research India and at the University of Michigan under Joyojeet Pal. I graduated magna cum laude from Ashoka University with a Gold Medal in Computer Science. Beyond academics, I’m a competent artist, photographer, archer and an incompetent pianist.
If you’re interested in my research (and even if you aren’t) let’s chat 💬, get coffee ☕ and/or hike up a mountain ⛰️!
Recent Research View all
The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement
arXiv. 2026
Question the Questions: Auditing Representation in Online Deliberative Processes
The ACM Web Conference. 2026
Scaling Human Judgment in Community Notes with LLMs
Journal of Online Trust and Safety. 2025
Recent News View all
I’ll be in New York City till mid September, interning with the FAIR Alignment team at Meta. If you’re in the area, let’s catch up!
Heading to Sydney, AUS to present the Supernotes paper at WWW’25.
In UMSI, organising the 5th International conference on Social Media and Society in India. This is my 4th year of involvement with this conference.
Teaching & Service
I serve as a reviewer and/or PC member for CHI, CSCW, WWW, ICWSM, CACM and IC2S2. I co-organise the Social Media and Society in India conference annually, where I also chair the student session. I’m a teaching assistant for IMT 573: Data Science I taught by Martin Saveski (usually, every Autumn quarter). For more information, refer to my CV.
Inspired by Martin Saveski, Deedy Das and The MIT Visualization Group, I created “vibe-coded” this Jekyll template now used by some others [1, 2, 3, 4]. You can find the full code on Github — feel free to use or modify it. If you do, I’d love to hear from you!