CURRICULUM VITAE

Postdoc Researcher, Department of Mathematics and Computer Science, University of South Denmark (2023 - now)

Research Assistant, Institute of Information Science, Academia Sinica (2017-2020)

PhD student, Department of Computer Science, University of Copenhagen (2020 - 2023)

BSc, Department of Physics, National Taiwan University (2013-2017)

Machine Learning Theory, National Tsing Hua University, Taiwan, Spring 2025
1 Guest Lecture on "PAC-Bayes Analysis" (Lecturer: Po-An Wang)

Reinforcement Learning (DM887), University of Southern Denmark, Spring 2024, 2025
1 Guest Lecture on "Optimism Under Uncertainty Principle in Reinforcement Learning" (Lecturer: Melih Kandemir)

Machine Learning B, University of Copenhagen, Fall 2022
Teaching Assistant (Lecturers: Sadegh Talebi, Yevgeny Seldin, Christian Igel, and Fabian Gieseke)

Machine Learning B, University of Copenhagen, Fall 2021
Teaching Assistant (Lecturers: Sadegh Talebi, Yevgeny Seldin, Christian Igel, and Fabian Gieseke)

Advanced Topics in Machine Learning, University of Copenhagen, Fall 2020
Teaching Assistant (Lecturers: Yevgeny Seldin, Christian Igel, and Sadegh Talebi)

RLC (2025[4])

TMLR (2024[6])

NeurIPS (2022[5] , 2023[6], 2025[5])

AISTATS (2023[5], 2024[1])

ICML (2024[6])

UAI (2024[4])

AAAI (2024[2])

TMLR Expert Reviewers

Top reviewers (NeurIPS 2022, NeurIPS 2023)

Independent Research Fund Denmark, grant number 0135-00259B, 2020 - 2023. (with PIs Prof. Yevgeny Seldin and Prof. Anders Søgaard)

European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 801199.