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Education
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Sep. 2024 - Present Ph.D. in Computer Science
University of Toronto, Canada - Advised by Rahul G. Krishnan.
- Thesis Committee: David Duvenaud and Chris J. Maddison.
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Sep. 2021 - Jun. 2023 -
Sep. 2017 - Jun. 2021 Bachelor of Computer Science
National Tsing Hua University, Taiwan
Experience
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Oct. 2023 - Jul. 2024 Research Intern
NVIDIA - Collaborated with Simon See on online RL for continuous control, leveraging NVIDIA Isaac simulation environment for high-fidelity real-world robotics modeling.
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Sep. 2022 - Nov. 2022 Visiting Scholar
Georgia Institute of Technology - Collaborated with Zsolt Kira on high-efficiency training paradigm for flow-based image generative models, achieving a dimensionality-proportional reduction in time complexity
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Mar. 2021 - Mar. 2022 Research Intern
MediaTek - Collaborated with Yi-Chen Lo and Yu-Lin Chang on advanced guidance mechanisms for diffusion models to improve image synthesis fidelity and conditional control.
Professional Services
- Conference Paper Reviewer: NeurIPS (2023, 2024, 2025), ICML (2024, 2025, 2026), ICLR (2024, 2025, 2026).
- Conference Program Commitee: AAAI (2025).
- Workshop Paper Reviewer: L3D-IVU Workshop @ CVPR (2022).
- Teaching Assistant:
- Probabilistic Machine Learning, University of Toronto (Winter 2025)
- Introduction to Machine Learning, University of Toronto (Fall 2024; Fall 2025; Winter 2026)
- Logic Design Laboratory, National Tsing Hua University (Fall 2020)
- Digital Logic Design, National Tsing Hua University (Spring 2019)
- Talk:
- Compute-Optimal Scaling of Diffusion Langugae Models, Vector Institiute (2026)
- Compositional Yeast Cell Video Generation using Diffusion Models, University of Toronto (2024)