Scholar
Tsai Hor Chan
Google Scholar ID: SBy4bDcAAAAJ
University of Pennsylvania
Citations & Impact
Citations
178
H-index
5
i10-index
3
Publications
15
Co-authors
0
Publications
Cited
0
Resume (English only)
Academic Achievements
- Published papers at NeurIPS 2025 (two times), Neural Networks 2025, TPAMI 2025, ICML 2025; Published at Neural Networks 2024 and ECCV 2024; Accepted paper at NeurIPS 2023 and CVPR 2023; Became an Associate of the Society of Actuaries (ASA) in January 2024.
Research Experience
- Postdoctoral Researcher at the University of Pennsylvania since October 2025, focusing on Causal Inference and Real-World Data Analysis, advised by Prof. Yong Chen; Exchange Scholar at the University of Pennsylvania from January to May 2025, also working on Causal Inference and Real-World Data Analysis, advised by Prof. Yong Chen; Research Intern at TCL Corporate Research, Hong Kong, from May 2021 to May 2023, concentrating on Recommendation Systems and Graph Neural Networks, mentored by Dr. Shen Jiajun; Research Assistant at The University of Hong Kong from June 2020 to September 2021, specializing in Statistical Genetics, guided by Prof. Yan Dora Zhang.
Education
- PhD from The University of Hong Kong in 2025, supervised by Prof. Lequan Yu and Prof. Guosheng Yin; B.Sc. in Actuarial Science (with a second major in Computer Science) from The University of Hong Kong in 2020, where he worked as a research assistant under the supervision of Prof. Yan Dora Zhang and Prof. Guosheng Yin.
Background
- Research interests lie at the intersection of artificial intelligence and statistics, specifically focusing on graph representation learning, Bayesian deep learning, electronic health records (EHRs), and causal inference. Committed to integrating statistical insights into modern deep learning algorithms, with a primary emphasis on Bayesian methods.
Co-authors