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Tony Wang

I'm Building

I built a language-based machine learning model for accelerated computational drug discovery.

Bio

Tony Wang, currently based in Cambridge, MA, received a Non-Trivial Fellowship grant to develop a language-based machine learning model that accelerates computational drug discovery, enabling teams to analyze vast datasets with new efficiency. As a PhD student at MIT’s Computer Science and Artificial Intelligence Laboratory, he has previously worked on adversarial robustness in AI systems, contributing to research that tests the resilience of superhuman AIs. His approach brings together deep technical insights with a focus on real-world applications in high-impact domains like AI and healthcare.

Grant Programs

Non-Trivial FellowshipAtlas FellowshipHack ClubMicrosoft AzureAtlas FellowshipNon-Trivial FellowshipRise Fellowship

Sectors

BioTech, AI/ML

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