Email:  ayushc@mit.edu

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About Me

I am a PhD student at MIT Media Lab supervised by Prof. Ramesh Raskar. My research makes theoretical advances in multi-agent AI, decentralized computation, and machine learning. My work has been published in leading venues like AAMAS, CVPR, and BMJ, received multiple best paper awards, resulted in 25 patents and and has been deployed across several countries. Prior to MIT, I was a scientist at Adobe where I received the Outstanding Young Engineer Award for my work on collaborative machine learning. To learn more about my research:

Research Overview

I develop Large Population Models , a new computational framework that enables simulating and understanding how millions of individual decisions combine to shape societal outcomes. While current AI focuses on creating sophisticated "digital humans", my research builds "digital societies" where we observe how collective behaviors emerge from their complex interactions. LPMs overcome limitations of traditional approaches through three key innovations:

  1. Scalable Architecture: Simulate 8M+ agents with sophisticated behaviors in minutes (600× faster than existing methods)
  2. Differentiable Design: Enable rapid calibration and analysis using real-world data streams (8300× speedup)
  3. Privacy-Preserving Protocols: Bridge simulations with reality while mathematically guaranteeing individual privacy
AgentTorch, our open-source framework, makes building and deploying massive LPMs accesible. LPMs are making real-world impact: optimizing vaccine distribution strategies to help immunize millions, and improving sustainability of billion dollar supply chains globally.
Publications   ( show highlighted / show all by date / show by topic )
Keywords:  Agent-based Simulations • Decentralized Computation •  Machine Learning •  Applications 
(* indicates equal contribution)

On the limits of agency in agent-based models
Ayush Chopra , Shashank Kumar , Nurullah Giray Kuru , Ramesh Raskar , Arnau Quera-bofarull
Accepted at 24th Autonomous Agents and Multi-agent Systems AAMAS , 2025
[PDF]

Differentiable Agent-based Modeling: Systems, Method and Applications
Ayush Chopra , Arnau Quera-bofarull , Sijin Zhang
Accepted at 23rd Autonomous Agents and Multi-agent Systems AAMAS , 2024
[Slides] [Tutorial]

Private Agent-based Modeling
Ayush Chopra , Arnau Quera-bofarull , Nurullah Giray Kuru , Michael Wooldridge , Ramesh Raskar
Accepted at 23rd Autonomous Agents and Multi-agent Systems AAMAS , 2024
[Preprint]

flame: a Framework for Learning in Agent-based Models
Ayush Chopra , Jayakumar Subramanian , Ramesh Raskar
Accepted at 23rd Autonomous Agents and Multi-agent Systems AAMAS , 2024
[PDF]



Differentiable Agent-based Epidemiology
Ayush Chopra , Alex Rodriguez , Jayakumar Subramanian , Aditya Prakash , Ramesh Raskar
Accepted at 22nd Autonomous Agents and Multi-agent Systems AAMAS , 2023
[PDF] Best Paper Award ICML Workshop 2022







Distributed Calibration of Agent-based Models
Aditi Garg , Ayush Chopra
7th International workshop on Epidemiology meets Data Mining and Knowledge discovery (KDD) epiDAMIK , 2023
[Preprint]






Powering Robust Fashion Retrieval With Information Rich Feature Embeddings
Ayush Chopra , Abhishek Sinha , Hiresh Gupta , Mausoom Sarkar , Balaji K
Computer Vision and Pattern Recognition Workshop CVPR Workshop , 2019
[PDF] Best Paper Award CVPR Workshop 2019


Talks
  • [2025/02] Invited Talk @ Oak Ridge National Laboratory
  • [2025/01] Invited Talk @ University of Delhi
  • [2024/10] Invited Talk @ MIT PKG Center
  • [2024/10] Invited Talk @ Rising Stars: MIT Media Lab
  • [2024/09] Invited Talk @ Google DeepMind
  • [2024/09] Invited Talk @ University of Michigan Ann Arbor
  • [2024/09] Invited Talk @ Amazon Web Services
  • [2024/09] Invited Talk @ MIT Decentralized AI Summit
  • [2024/08] Invited Talk @ Google Cambridge
  • [2024/09] Tutorial @ AAMAS 2024
  • [2023/11] Invited Talk @ Government of New Zealand
  • [2023/08] Invited Talk @ University of Vermont
  • [2023/08] Invited Talk @ ACM Goa
  • [2023/07] Invited Talk @ Columbia University Public Health
  • [2023/04] Invited Talk @ JP Morgan AI Research
  • [2022/10] Invited Talk @ University of Oxford
Academic Talk (45 minutes)
Enterprise Pitch (5 minutes)

Honors and Awards

Professional Service


Design and source code modifed from Yuzhe Yang's webpage with permission.