Tam Le received the Ph.D. degree in 01/2016 from Kyoto University, Japan, supervised by Marco Cuturi and Akihiro Yamamoto. He worked as a post-doctoral researcher at Nagoya Institute of Technology & National Institute for Materials Science, Japan, mentored by Ichiro Takeuchi between 02/2016 and 08/2017. Then, he worked as the post-doctoral researcher between 09/2017 and 07/2021, and as a research scientist between 08/2021 and 08/2022 at RIKEN Center for Advanced Intelligence Project (RIKEN AIP), mentored by Makoto Yamada. From 09/2022, he has been working as an assistant professor at The Institute of Statistical Mathematics (ISM), and he has concurrently been a visiting scientist at RIKEN AIP, working in Functional Analytic Learning Team led by Minh Ha Quang from 12/2022.
His research interests include machine learning, optimal transport, kernel methods, and geometric methods for non-Euclidean data. He has published his research in top-tier machine learning conferences/journals including ICML, NeurIPS, AISTATS and MLJ. He has been serving as Area Chair for ICML, AISTATS, ICLR and a reviewer for NeurIPS.

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