Aditya Grover

Aditya is a final-year Ph.D. candidate in Computer Science at Stanford University. His research focusses broadly on probabilistic machine learning, including topics in generative modeling and deep learning as well as applications relating to scientific discovery and sustainable development. He is a recipient of a Microsoft Research Ph.D. Fellowship, a Lieberman Fellowship, and a Data Science Scholarship. His research has been cited widely (2500+ citations) and deployed at major companies and open-source ML software. Aditya is also a Teaching Fellow at Stanford since 2018, where he designed and teaches a new class on Deep Generative Models. He has also spent time at Google Brain, Microsoft Research, and OpenAI. Before joining Stanford, he obtained his bachelors in Computer Science from IIT Delhi in 2015, where he was awarded the best experimental thesis award.

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