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    Tam Le

    Assistant Professor at ISM

    Tam Le, Assistant Professor at The Institute of Statistical Mathematics (ISM)

    Tam Le is an Assistant Professor at The Institute of Statistical Mathematics (ISM) in Japan.12 Their main research interests are in the areas of machine learning, optimal transport, kernel methods, and geometric methods.13

    Le received their PhD in 01/2016 from Kyoto University, Japan, under the supervision of an unnamed advisor.1 After their PhD, they worked as a visiting scientist at RIKEN AIP concurrently with their assistant professor position at ISM.156

    Some key facts about Tam Le:

    • Their LinkedIn username is lttam4
    • They have been cited 596 times according to Google Scholar3
    • Their GitHub username is also lttam7
    • They were a visiting scientist at RIKEN AIP from Aug 2021 to Aug 202256

    Le is currently an active researcher, with their most recent publications and activities listed on their ISM faculty page2 and personal website.1 They are making contributions to the field of statistical machine learning through their research and collaborations at ISM and RIKEN AIP.

    Related Questions

    What are Tam Le's most notable research contributions?
    How does Tam Le's work at RIKEN AIP complement his role at ISM?
    What are the main applications of Tam Le's research in machine learning?
    Can you provide examples of Tam Le's publications on optimal transport?
    How has Tam Le's research impacted the field of kernel methods?
    Tam Le
    Tam Le, photo 1
    Tam Le, photo 2
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    Location

    Japan