Tam Le (Assistant Professor @ISM)
Research interests: Optimal transport, treeWasserstein geometry, Sobolev transport, geometric machine learning, Riemannian manifold, topological data analysis, kernel methods, robust algorithms.
Contact
103 Midoricho, Tachikawa, Tokyo 1908562, Japan
Email: tam[at]ism.ac.jp (or lttam.vn[at]gmail.com)
Room: A506B. Access to ISM
My CV is here  Updated September, 2022.
News
20Apr2023, Our paper, entitled “Dynamic Flows on Curved Space Generated by Labeled Data” has been accepted to IJCAI’23! This is joint work with Xinru Hua, Truyen Nguyen, Jose Blanchet, and Viet Anh Nguyen.
01Apr2023, Our proposal has been accepted by the GrantsinAid for Scientific Research (C) as PI (04/2023  03/2026).
21Jan2023, Our paper, entitled “Scalable Unbalanced Sobolev Transport for Measures on a Graph” has been accepted to AISTATS’23! This is joint work with Kenji Fukumizu, and Truyen Nguyen.
01Dec2022, I am officially appointed as a visiting scientist at Functional Analytic Learning Unit, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
01Sep2022, I officially join in The Institute of Statistical Mathematics (ISM) as Assistant Professor. I am also an Assistant Professor at The Graduate School for Advanced Studies (SOKENDAI).
26Jul2022, I give an invited talk at Kyoto Machine Learning workshop.
27May2022, I give an invited talk at Asia Pacific Seminar on Applied Topology and Geometry (APATG). [SLIDE]
01Mar2022, I give an invited talk at the AAAI workshop (OTSDM: International Workshop on Optimal Transport and Structured Data Modeling). [SLIDE]
Research Support
Education
Research Experience
09/2022  present, Assistant Professor, Department of Statistical Inference and Mathematics, The Institute of Statistical Mathematics (ISM).
03/2023  present, Assistant Professor, Research Center for Statistical Machine Learning, The Institute of Statistical Mathematics (ISM).
09/2022  present, Assistant Professor, The Graduate School for Advanced Studies (SOKENDAI).
12/2022  present, Visiting Scientist, Functional Analytic Learning Unit, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
08/2021  08/2022, Research Scientist, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
09/2017  07/2021, Postdoctoral Researcher, RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
02/2016  08/2017, Postdoctoral Researcher, Nagoya Institute of Technology & National Institute for Materials Science, Japan.
01/2016, Associate Researcher, Nagoya Institute of Technology, Japan.
10/2015  12/2015, Associate Researcher, Kyoto University, Japan.
