Suyash Fulay

Suyash Fulay

MIT PhD

About Me

I recently completed my PhD at MIT advised by Deb Roy, where I did research on AI alignment, collective decision-making, and social networks. My committee included Michiel Bakker and Diyi Yang.

Prior to graduate school, I was a founding member of the ML team at Bridgewater Associates, where I worked with Jasjeet Sekhon to build machine learning pipelines for trading systems. I've also interned at Amazon AGI Foundations, working on alignment methods, and at Mana AI, building ML systems to automatically identfiy promising investment opportunities.

Recent News

Education
  • Ph.D., MIT Media Lab, 2022-2025

    Massachusetts Institute of Technology

  • M.Eng. in Computer Science, Concentration in Artificial Intelligence, 2020-2021

    Massachusetts Institute of Technology

  • B.S. in Computer Science and Engineering, 2013-2017

    Massachusetts Institute of Technology

Recent Publications

(2026). Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice. In CHI EA.

PDF

(2025). Using LLMs to Raise Missing Perspectives in Policy Deliberations. In NeurIPS 2025 Workshop.

PDF

(2025). AI and Collective Decisions: Strengthening Legitimacy and Losers' Consent. In UIST (under review).

PDF

(2025). Coalesce: An Accessible Mixed-Initiative System for Designing Community-Centric Questionnaires. In IUI 2025.

PDF

(2025). Shareholder Democracy with AI Representatives. arXiv preprint.

PDF

(2024). On the Relationship between Truth and Political Bias in Language Models. In EMNLP 2024.

PDF

(2024). ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings. ACL 2024 TextGraphs Workshop.

PDF Code

(2023). Divergences in Following Patterns between Influential Twitter Users and Their Audiences. In ICWSM 2023.

PDF