mj10.github.io - Moksh Jain

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Description: Moksh Jain. PhD Student in Machine Learning at Mila and UdeM.

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Moksh Jain

I am a first year Ph.D. student at Mila and Université de Montréal supervised by Prof. Yoshua Bengio. I am interested in developing machine learning algorithms for effective experimental design, incorporating tools from probabilistic inference and modern deep learning. My work focuses on the probabilistic inference framework of GFlowNets. I am interested in applications of these algorithms to accelerate the scientific discovery process. I lead various efforts for developing novel machine learning approaches

Before joining Mila as a graduate student, I was a visiting researcher with Prof. Yoshua Bengio, working on uncertainty estimation and drug discovery. I also spent a year at Microsoft Turing working on compressing and optimizing large langauge models for deployment across Bing and Office.

Links to mj10.github.io (1)

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