About me

Hi! I am Han. I received double B.S. degrees in Biology and Applied Mathematics (ranking: 1st/79) from Nankai University, where I participated in several projects about operations research, medical informatics, and evolutionary biology. Subsequently, I worked as a research scholar at Harvard University concentrating on epidemiology and biostatistics. After that, I pursued my Ph.D. in Health Data Science at Duke-NUS Medical School (an inter-institutional collaboration between Duke University and National University of Singapore), during which time I exchanged at Universität Zürich. My industry experiences include data analytics internships at Bank of China and Founder Securities.

My current research interests focus on Explainable Artificial Intelligence (XAI) and Automated Machine Learning (AutoML) in Healthcare. I am also widely interested in the frontiers of machine intelligence, especially advances in computer vision and natural language processing.

I am always happy to try different milk tea brands and flavors. Whether looking for a research collaborator or milk tea partner, do not hesitate to contact me.


06/2022: A preprint on SHapley Additive exPlanations is released.

04/2022: A preprint on SHapley Additive exPlanations is released.

04/2022: A JBI paper on AutoScore-Imbalance is accepted.

12/2021: Two JBI papers on AutoScore-Survival and temporal data representation are accepted.

06/2021: The R package on AutoScore is released.

05/2021: A J. Exp. Clin. Cancer Res. paper on renal cell carcinoma progression is accepted.

02/2021: An ACM ICMHI paper on adverse drug reaction is accepted.

09/2020: A Front. Oncol. paper on postoperative recovery is accepted.

06/2020: An IJB paper on Kaplan–Meier estimator is accepted.