Email:  ayushc@mit.edu

  •     •  

About Me

I am a PhD student at MIT Media Lab supervised by Prof. Ramesh Raskar. My research makes theoretical advances in multi-agent simulations and distributed computation. My work has been published in leading simulation venues, received multiple best paper awards, resulted in 25 patents and cited by 1000+ academic papers. Prior to MIT, I was an engineer at Adobe where I received the Outstanding Young Engineer Award for my work on collaborative systems. To learn more about my research:

Research Overview

I develop Large Population Models , a new computational framework that enables simulating and understanding how networks of interacting agents combine to shape collective outcomes.

Publications   ( show highlighted / show all by date / show by topic )
(* 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.