Suyash Fulay

Suyash Fulay

PhD Student at MIT

MIT

About Me

Hi! I'm a PhD student at MIT advised by Deb Roy. I am interested in developing and applying machine learning methods (NLP and graph based methods), usually with the goal of understanding human behavior or helping us communicate more effectively. Prior to graduate school, I worked at Bridgewater Associates on the data science and machine learning team where I worked with Jasjeet Sekhon to help build interpretable and robust predictive models of the world economy.

Recent News

* 6.2024 Started an internship at Amazon, focusing on large language model alignment in the AGI Foundations organization * 9.2023 Released a preprint of Polarized Speech on Online Platforms , which is currently under review at Nature Human Behavior * 5.2023 Published a paper in ICWSM proposing graph-based metrics to understand people's preferences on social networks
Education
  • PhD at MIT Media Lab (Current), 2022-Present

    Massachusetts Institute of Technology

  • MEng in Computer Science with concentration in Artificial Intelligence, 2020-2021

    Massachusetts Institute of Technology

  • BS in Computer Science, 2013-2017

    Massachusetts Institute of Technology

Recent Publications

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(2023). Polarized Speech on On Online Platforms. Under peer review at Nature Human Behavior.

PDF Arxiv 2023

(2023). Divergences in Following Patterns between Influential Twitter Users and Their Audiences. In AAAI Conference on Web and Social Media.

Cite ICWSM

(2023). ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings.

PDF Code Arxiv 2023