Vineet Jain is a PhD student and graduate researcher at Mila with a decade of experience in machine learning research focused on representation learning, reinforcement learning, generative models, and Bayesian methods. He has contributed to research teams at CMU, BCAI, EPFL, and industry labs including Valence Labs, combining strong academic training from McGill, CMU, and IIT Kharagpur with practical internship experience. Vineet’s work sits at the intersection of principled probabilistic modeling and downstream RL applications, reflecting a balance of theoretical rigor and empirical evaluation. Known for navigating both academic and industrial research environments, he brings an ability to translate advanced representation-learning ideas into experiments and prototype systems.
10 years of coding experience
1 year of employment as a software developer
Dual Degree - Bachelor of Technology (B.Tech) + Master of Technology (M.Tech), Electronics and Electrical Communication Engineering, Dual Degree - Bachelor of Technology (B.Tech) + Master of Technology (M.Tech), Electronics and Electrical Communication Engineering at Indian Institute of Technology, Kharagpur
Master's degree, Machine Learning, Master's degree, Machine Learning at Carnegie Mellon University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at McGill University
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