Jian Tang is an Associate Professor at Mila–Quebec AI Institute with 11 years of experience at the intersection of deep learning and applied AI, currently focusing on deep learning for drug discovery. Trained with a Ph.D. in Computer Science from Peking University and a mathematics background from Beijing Normal University, he blends rigorous theory with practical research cultivated during roles at Microsoft Research Asia and as a visiting student at the University of Michigan. At Mila he advanced from Assistant Professor to Associate Professor, contributing to one of the world’s largest academic AI labs founded by Yoshua Bengio. His work spans deep learning, statistical modeling, and information retrieval, and he brings industry-grade research experience to biomedical AI challenges. Colleagues note his ability to translate complex models into domain-impacting applications, particularly in accelerating early-stage drug discovery workflows.
11 years of coding experience
7 years of employment as a software developer
Bachelor Mathematics, Bachelor Mathematics at Beijing Normal University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Peking University
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