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General Information
| Full Name | Takeshi Teshima |
| Languages | English (fluent), Japanese (native) |
Publications
- See this page.
Experience (selected)
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Apr. 2022 -
presentData Scientist
Recruit Co., Ltd. -
Mar. 2021 -
May 2021Data Scientist
Peloria Insights, PBC. -
1 Apr 2020 -
31 Mar 2022RIKEN Junior Research Associate (JRA)
The Center for Advanced Integrated Intelligence Research (AIP), RIKEN -
Oct. 2019 -
Mar. 2020Research Part-timer I
The Center for Advanced Integrated Intelligence Research (AIP), RIKEN -
1 Aug 2019 -
24 Sep 2019Research Intern
IBM Research Tokyo
Education
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Apr. 2019 -
Mar. 2022Doctor of Philosophy in Science (Ph.D.)
The University of Tokyo - Area: Causal Machine Learning
- Advisor: Masashi Sugiyama (Sugiyama-Yokoya-Ishida Laboratory)
- Thesis: Causal Machine Learning from Small Data: A Data Augmentation Approach
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Apr. 2017 -
Mar. 2019.Master of Science (M.Sc.)
The University of Tokyo - Area: Machine Learning
- Advisor: Masashi Sugiyama (Sugiyama-Sato-Honda Laboratory)
- Thesis: Research on Restoring Clipped Low-rank Matrices
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Apr. 2015 -
Mar. 2017.Bachelor of Economics (B.Econ.)
The University of Tokyo - Area: Business Administration and Econometrics
Honors and Awards
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08 Mar 2022 - IBIS 2021 (The 24th Information-Based Induction Sciences Workshop) Outstanding Presentation Award (Presenter: Masahiro Fujisawa; awarded for our joint work)
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Mar 2022 - Full exemption of repayment of Type I scholarship for excellent performance, Japan Student Services Organization (JASSO)
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17 Mar 2021 -
08 Jan 2021 - IBIS 2020 (The 23rd Information-Based Induction Sciences Workshop) Outstanding Presentation Award
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Jul 2020 -
Jun 2024- Masason Foundation scholar (Generation 3)
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Apr 2020 -
Mar 2021- UTokyo Toyota-Dwango AI scholarship (merit-based)
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1 Jul 2019 -
Jun 2020- Masason Foundation associate member (3rd Generation)
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1 Jun 2019 -
30 Nov 2019- Academic Research Grant for GSFS Doctor Course Students, The University of Tokyo
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Apr 2019 -
Mar 2020- UTokyo Toyota-Dwango AI scholarship (merit-based)
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Mar 2019 - Full exemption of repayment of Type I scholarship for excellent performance, Japan Student Services Organization (JASSO)
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20 Mar 2019 - Deans' Award for Outstanding Achievement (Master's Course; Graduate School of Frontier Sciences)
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Sep 2017 -
Mar 2018- UTokyo Toyota-Dwango AI scholarship (merit-based)
Academic Interests
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General interest
- I've always been interested in generic methodology. I am currently working on developing statistical machine learning as a major frontiers of statistics/information technology.
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Causality for learning from small data.
- Using causal knowledge/discovery for small-data machine learning.
- Transfer learning based on similarity of causal mechanisms (causal mechanism transfer).
- Incorporating causal graphical knowledge into predictive modeling (causal-graph data augmentation).
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Machine learning for social sciences / natural sciences.
- Machine learning methods that can deal with data deficiencies common in sciences.
- Recovering data from ceiling effects, a.k.a. censoring: clipped matrix completion.
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Machine learning methodology in general.
- Classification learning from limited information (positive-unlabeled classification)
- Robust approximate Bayesian computation,
- Density ratio estimation
- Representation power of invertible neural networks
Other Professional Activities
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AI for Good
- Lead ML Engineer at Omdena SaveTheChildren Project (in an international team of 60 data scientists; 8 weeks project from 20 Aug 2020) → Project completed!
- Chief Data Scientist at PeaceTech working group at ICT4D.jp
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Local Conference
- Mentor at IBIS2022 mentoring session
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Reviewing
- ICML 2023, NeurIPS 2023 (among the Top Reviewers)
- ICML 2022 (Outstanding Reviewers (Top 10%))
- ICML 2021 (Expert Reviewer and among the Best Reviewers (Top 10%))
- ICML 2020 (TOP 33% reviewer), NeurIPS 2020 (TOP 10% reviewer)
- NeurIPS 2019 (TOP 50% reviewer), NeurIPS 2019 Reproducibility Challenge Workshop, AAAI 2019
- IDA (Intelligent Data Analysis) Journal
- Neural Computation
- Neural Networks
Open Source Projects
-
org-babel-eval-in-repl
- Emacs package
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echelon-py / echelon-py-examples
- Echelon analysis in Python with examples
Fun Facts
- I'm a Mediator (INFP) in 16 personalities: "always looking for the hint of good in even the worst of people and events, searching for ways to make things better."
- Non-technical books I have found fascinating (Booklog)