Research output per year
Research output per year
Personal profile
Biography
Dr. Collin Sakal is an Assistant Professor at the City University of Hong Kong (Dongguan) where he leads the Healthy Aging Data Science Group. His research lab aims to better understand and promote healthy aging by analyzing wearable device data, including sleep, physical activity, and circadian rhythm data from smart watches.
Dr. Sakal completed his PhD in Data Science in 2025 at the City University of Hong Kong where he was funded by the Hong Kong PhD Fellowship Scheme (HKPFS), holds a master’s degree in Health Data Science from the University of New South Wales (UNSW), and holds a bachelor’s degree in Statistics and Mathematics from the State University of New York at Buffalo.
Contact Information
Email: collin.sakal@cityu-dg.edu.cn
Education/Academic qualification
香港城市大学
Nov 2021 → Oct 2025
Highest Education
- PhD Student
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
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Research output
- 9 Article
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Bridging imaging and genomics: Domain knowledge guided spatial transcriptomics analysis
Zhang, W., Liu, X., Chen, T., Xu, W., Sakal, C., Nie, X., Wang, L. & Li, X., Mar 2026, In: Information Fusion. 127, 103746.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
Img2Gene: Debiased Spatially Resolved Transcriptomics with Biological Context from Pathology Images
Zhang, W., Chen, T., Xu, W., Sakal, C. & Li, X., 2026, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
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Integrating images and genomics for multi-modal cancer survival analysis via mixture of experts
Zhang, W., Xu, W., Chen, T., Sakal, C. & Li, X., Feb 2026, In: Information Fusion. 126, 103521.Research output: Contribution to journal › Article › peer-review
Open Access10 Link opens in a new tab Scopus citations -
Towards proactively improving sleep: Machine learning and wearable device data forecast sleep efficiency 4-8 hours before sleep onset
Sakal, C., Chen, T., Xu, W., Zhang, W., Yang, Y. & Li, X., 1 Aug 2025, In: Sleep. 48, 8, zsaf113.Research output: Contribution to journal › Article › peer-review
6 Link opens in a new tab Scopus citations -
Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study
Sakal, C., Li, T., Li, J., Yang, C. & Li, X., 2024, In: JMIR Aging. 7, p. 1-7 7 p., e54353.Research output: Contribution to journal › Article › peer-review
Open Access27 Link opens in a new tab Scopus citations