Tam Le (PhD, 2016)

Tam Le 

Assistant Professor, The Institute of Statistical Mathematics (ISM)
Department of Advanced Data Science
Research Center for Statistical Machine Learning

Concurrent affiliation:
Visiting Scientist, Functional Analytic Learning Team, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
Assistant Professor, The Graduate School for Advanced Studies (SOKENDAI).

Research interests: Machine learning, optimal transport, kernel methods, geometric machine learning.


10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan
Email: tam[at]ism.ac.jp (or lttam.vn[at]gmail.com)
Room: A506B. Access to ISM

My CV is here - Updated April, 2024.


Research Support



  • 06/2022 - 03/2027, a collaborator in Data Science group led by Kenji Fukumizu (ISM), JSPS - Grant-in-Aid for Transformative Research Areas (A).

  • 04/2023 - 03/2025, a collaborator in a group led by Hideitsu Hino (ISM), Mitsui Knowledge Industry Co., Ltd. grant.

  • 04/2024 - 03/2025, ISM Joint-research 2024-ISMCRP-2021 as PI.

  • 04/2023 - 03/2024, ISM Joint-research 2023-ISMCRP-2010 as PI.


I received my Ph.D in 01/2016 from Kyoto University, Japan, supervised by Marco Cuturi and Akihiro Yamamoto. Then, I 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. After that, I worked as a 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, I have been working as an assistant professor at The Institute of Statistical Mathematics (ISM), and I have concurrently been a visiting scientist at RIKEN AIP, working in Functional Analytic Learning Team led by Minh Ha Quang from 12/2022.