Ayush Chopra is a PhD candidate and Graduate Research Assistant at MIT Media Lab with a decade of experience applying AI, agent-based modeling, and collaborative machine learning to large-population decision problems. His research—supervised by Ramesh Raskar and published at venues including CVPR, ECCV, ICML workshops, AAMAS and the British Medical Journal—has been applied to domains from population health at Mayo Clinic to finance at JPMorgan. Previously a senior researcher at Adobe with 23 patents and numerous top-tier publications, he won Adobe’s Outstanding Young Engineer Award as its youngest recipient. Ayush blends deep academic rigor with product-oriented impact, advising startups like RemoteHQ and mentoring open-source projects such as AgentTorch. He’s comfortable moving between prototype systems, field deployments, and cross-disciplinary collaborations, and has a track record of framing population-scale inference tasks in practical settings. Based in Cambridge, MA, he quietly combines a lab-first research mindset with real-world deployment experience that has attracted media and industry attention.
10 years of coding experience
3 years of employment as a software developer
High School, High School at Delhi Public School, Rohini
Visiting PhD Researcher Artificial Intelligence, Visiting PhD Researcher Artificial Intelligence at University of Oxford
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Massachusetts Institute of Technology
Middle School, Middle School at Delhi Public School - Rohini
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Delhi College of Engineering
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