Principal Investigator

Dr. Collin Sakal

Dr. Collin Sakal completed his PhD in Data Science at the City University of Hong Kong where he was funded by the Hong Kong PhD Fellowship Scheme (HKPFS). Dr. Sakal also holds a master’s degree in Health Data Science from the University of New South Wales (UNSW) and a bachelor’s degree in Statistics and Mathematics from the State University of New York at Buffalo where he graduated Summa Cum Laude.

Healthy Aging Data Science Group Members

  • Dr. Collin Sakal

    Principal Investigator. Previously: PhD in Data Science (CityUHK, 2025), MSc in Health Data Science (UNSW, 2021), BA in Statistics and Mathematics (State University of New York at Buffalo, 2019).

  • Chenxin Wang (王晨鑫)

    PhD student. Previously: MSc in Biostatistics (CityUHK, 2026), BS in Mathematics and Applied Mathematics (Tianjin University, 2021).

  • Landy Wei (魏澜迪)

    MSc Student Researcher

  • Wangfan Xu (徐王凡)

    MSc Student Researcher

  • Xuesong XU (徐雪松)

    MSc Student Researcher

  • PhD Student

    Open position. See “Recruitment” page for how to apply!

Main Collaborators

Prof. LI Xinyue’s lab at the City University of Hong Kong Department of Data Science

Prof. LI Xinyue is an Associate Professor in the Department of Data Science, City University of Hong Kong, and a Research Cluster leader at the City University of Hong Kong Institute of Digital Medicine. Her research group specializes in functional data analysis, wearable device data analysis, and deep learning for medical imaging. Dr. LI’s website can be found at https://www.xli-lab.com/