Swapneel Mehta
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00 / Curriculum vitae

Swapneel S. Mehta

AI trust and safety, digital platforms, and the governance of online information. This page is generated from the same record as the PDF, so the two match.

01

General Information

  • Full Name

    Swapneel Mehta
  • Summary

    AI trust, safety, and digital platforms research; leading SimPPL, a nonprofit research lab with $2.5M in grants from Google, Mozilla, Omidyar Network, Ford Foundation, and Deutsche Welle. Co-PI on a grant with the Harvard/INSEAD AI Venture Lab.
  • Languages

    English, Hindi, Gujarati, Spanish (basic), French (basic)

02

Education

  • Ph.D., Data Science

    2023

    Center for Data Science, New York University

    • Google Research Innovator Award, WikiCred Grant, UKRI Grant, AWS Credit Grant
    • Thesis - Towards Informed Interventions to Limit the Effects of Online Misinformation
    • Advisors - Richard Bonneau, Jonathan Nagler at Center for Social Media and Politics
    • Machine Learning, Causal Inference, Social Networks, Recommender Systems
  • B. Eng., Computer Engineering

    2018

    D.J. Sanghvi College of Engg., University of Mumbai

    • Applied Math, Graph Theory, Machine Learning, Artificial Intelligence, Algorithms

03

Experience

  • Collaborator

    2026 - Present

    Harvard/INSEAD AI Venture Lab, with Prof. Hyunjin Kim

    • Co-PI on a grant with the lab, funded by Omidyar Network and the Ford Foundation, investigating how investors value Responsible AI practices at startups.
  • Co-Founder and President

    2021 - Present

    SimPPL, New York

    • Founded an AI trust and safety research lab selected into the Fast Forward tech nonprofit accelerator, co-leading 5 full-time engineers and 60+ fellows.
    • Secured $2.5 million in grants/revenue from Google, Mozilla, Omidyar Network, Ford Foundation, Deutsche Welle, the NYC Media Lab, and JournalismAI.
    • Launched Arbiter, a UNDP-supported platform scaling cross-platform social discourse analysis to 50M+ posts/week, helping journalists surface what’s shaping public conversations.
    • 20+ partnerships in 7 countries, with 10+ papers at ICWSM, AAAI, NeurIPS and ICML.
  • Postdoctoral Associate

    2023 - 2025

    Boston University and MIT

    • Research on digital platforms and AI safety in multi-turn environments; developed human-AI marketplaces to test economic interventions limiting advertising deception.
    • Running behavioral experiments with 4,000+ participants in multiagent marketplaces. Helped found and grow the Platform Governance Lab to 25+ members.
    • Papers at Nature Comms. (R&R), ICIS; Invited Talks at ACR, SCP, WISE, IC2S2, Stanford TSRC, Columbia MarkTech, Yale AI/ML Conference, and industry (Bluesky, Google).
  • Co-Founder and Chief Scientist

    2023 - 2025

    Sakhi, Mumbai, India, and Cambridge, MA

    • MIT-incubated AI platform deploying RCTs to improve reproductive health literacy, piloted with 350 families in India and Bangladesh.
    • Partnerships with Indian Council of Medical Research (Maternal and Child Health); working with Cohere Labs on designing robust multilingual evaluations for medical LLMs.
    • Awards from AWS, MIT IDEAS, Delta-V, UNDP; invited to submit $2 million Gates Foundation proposal; featured on Rest of World.
  • Graduate Researcher

    2021 - 2024

    Center for Social Media and Politics, NYU

    • Estimating the causal effect of Reddit outages on low-quality news sharing; Identifying the causal effects of Twitter’s warning labels on Trump’s tweets.
    • COVID infection modeling with probabilistic programs (MIT PROBPROG).
    • Lead organizer of NYU AI School (2020-2024, funded by Deepmind and Genentech); founded AI, Misinformation & Policy Seminar (2023-2024).
  • TSP Researcher

    2018 - 2019

    CERN, Geneva

    • Built graph neural networks for particle track reconstruction using collision data from the Large Hadron Collider.
    • Built, maintained, and deployed the ’DeepJet’ deep learning package into production across 42 global sites.
    • Google Cloud Award and the Oxford MLHEP Award for our work.

04

Internships

  • Product Data Science Intern

    2023

    Slack Inc. (Salesforce), New York

    • Identified social learning drivers of collaborative feature adoption for Slack.
  • Ph.D. Machine Learning Engineer Intern

    2022

    Twitter (X), Civic Integrity, New York

    • Improved precision of civic/health misinformation classifier by 20%; scaled to 1M+ tweets/week (BigQuery ML, NLP, recommender systems).
  • Visiting Researcher

    2021 - 2022

    University of Oxford, Torr Vision Group

    • Generative modeling of adversarial agent behaviors on Reddit recommendations; presented at ICML (AI4ABM) and DEFCON Misinfo. Village (2022).
  • Data Science Research Intern

    2020

    Adobe Research, New York

    • Open-domain trending hashtag recommendation for videos; multimodal GNNs, weak supervision, LLMs.
    • First-author paper at IEEE ISM 2021; U.S. Patent 12050647.
  • Research Intern, Prof. Sameer Sahasrabudhe

    2016 - 2017

    Indian Institute of Technology, Bombay

    • Automated the evaluation for 3D Modeling assignments in Blender; Course Instructor, edX Prize Finalist, 2019.
    • Published a first-author short paper at IEEE International Conference on Advanced Learning Technologies, 2018.
  • Software Engineering Intern

    2016 - 2017

    Smokescreen Technologies (acq. ZScaler), Mumbai

    • Combined low-latency network scans, hostname clustering, intelligent decoys, and automated deployment using custom-built modules integrated into the NASSCOM-DSCI award-winning IllusionBlack software, 3rd Gen., 2017.
  • Software Engineering Intern

    2016 - 2016

    Falkonry Software Solutions, Mumbai

    • Developed and deployed real-time data streaming and subscription-based alerts in the three client connectors released as open-source codebases in Java, Python and Javascript.
  • Research Intern, Microsoft Research

    2016 - 2016

    Indian Institute of Technology, Bombay

    • Created a Google Analytics Dashboard to track and monitor user interactions on the “Lokacart” app.
    • Presented the project to Microsoft Research and a committee of IIT-B faculty (video available).

05

Selected Honors

see PDF for details

Honors, talks and teaching are in the PDF.

Write to me if you need a reference letter or a syllabus.