Ayush Chopra

Camera Culture
  • Research Assistant

Current: I am a second-year graduate student advised by Prof Ramesh Raskar.  My research interests are in (distributed) machine learning and (multi-agent) reinforcement learning with applications across computer vision, economics, and public health. My general motivation is to build technology and policy infrastructure to enable decentralized decision making, at scale.

Past: Prior to MIT, I was a researcher at Adobe where I focused on enabling decentralized commerce through interactive & personalized retail experiences in the browser. I was also the youngest recipient of the Adobe Outstanding Young Engineer Award [My talk at Adobe Summit 2020].  I have been a technical (AI) advisor at RemoteHQ, which is pioneering the transition to decentralized work through video platforms for distributed SaaS teams to collaborate productively [RemoteHQ voted #1 on ProductHunt]

Output : My research has been published (and received best paper awards) at several top-tier AI conferences/ interdisciplinary journals and has resulted in 23 patents filed across 5 countries. … View full description

Current: I am a second-year graduate student advised by Prof Ramesh Raskar.  My research interests are in (distributed) machine learning and (multi-agent) reinforcement learning with applications across computer vision, economics, and public health. My general motivation is to build technology and policy infrastructure to enable decentralized decision making, at scale.

Past: Prior to MIT, I was a researcher at Adobe where I focused on enabling decentralized commerce through interactive & personalized retail experiences in the browser. I was also the youngest recipient of the Adobe Outstanding Young Engineer Award [My talk at Adobe Summit 2020].  I have been a technical (AI) advisor at RemoteHQ, which is pioneering the transition to decentralized work through video platforms for distributed SaaS teams to collaborate productively [RemoteHQ voted #1 on ProductHunt]

Output : My research has been published (and received best paper awards) at several top-tier AI conferences/ interdisciplinary journals and has resulted in 23 patents filed across 5 countries. My projects have been covered by various digital media platforms including Reuters, Venture Beat, Weather Channel, Ad-Week, Women's Wear Daily and reproduced by national media outlets in over 15 countries (and 6 languages).

Collab: We have a lot exciting research and development projects going on! If you would like to know more or collaborate, please reach out to me at [firstname + c] [at] [mit.edu]

News:  

- ZFlow accepted at ICCV 2021. Data-driven estimation of appearance flow field for spatial transformation of object images. Potential for photorealistic virtual try-on in the browser! (with a single RGB image)

- DISCO accepted at CVPR 2021. Conditionally private inference in deep neural networks. Potential for deployment of ML systems in low-resource environments.

- DeepABM accepted at WSC 2021 as Oral! Making large-scale agent-based epi simulations  fast (10x) and differentiable.  Potential for data-driven public policy.

- Clinical simulations paper (collab with Mayo) published at BMJ 2021. Study public health impact of delaying 2nd dose of mRNA-based vaccine through simulations.

Personal Website: www.ayushchopra.me [not updated]