Thong Pham

Associate Professor, Shiga University
Visiting Scientist, RIKEN AIP
Visiting Researcher, Kyoto University


Room 317

Data Science Building

Shiga University

Shiga, Japan

I am an associate professor (tenured) at Data Science and AI Innovation Research Promotion Center, Shiga University. I also work as a visiting scientist at Causal Inference Team, RIKEN AIP, and as a visiting researcher at Fukuma Research Group, Kyoto University Graduate School of Medicine. Previously, I was a postdoctoral researcher at RIKEN AIP. Before that, I received my Ph.D. in Statistics from Shimodaira Laboratory at Osaka University.
My research interests include network science, causal inference, and causal discovery.


Feb 4, 2024 I co-authored a paper on combining large language models with causal discovery algorithms.
Jan 13, 2024 Our paper has been accepted to CLeaR 2024.
Nov 3, 2023 Our paper on causal inference with optimal transport is on arXiv.
Jun 8, 2023 I started working as a visiting researcher at Kyoto University.
Jun 1, 2023 I started working as an associate professor at Shiga University.

fundings (as PI)

06/2023 - 03/2024 Research Startup Grant from Shiga University Competitive Research Fund
04/2019 - 03/2022 JSPS Grant-in-Aid for Early-Career Scientists 19K20231
04/2016 - 03/2017 JSPS Research Fellowship for Young Scientists 16J03918

selected publications

  1. Non-parametric Estimation of the Preferential Attachment Function from One Network Snapshot
    Journal of Complex Networks, Sep 2021
  2. PAFit: An R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks
    Journal of Statistical Software, Feb 2020
  3. Joint Estimation of Preferential Attachment and Node Fitness in Growing Complex Networks
    Scientific Reports, Sep 2016
  4. PAFit: A Statistical Method for Measuring Preferential Attachment in Temporal Complex Networks
    PLOS ONE, Sep 2015