Personal profile
Author IDs
ORCID iD: 0000-0003-4011-8292
Scopus Author ID: 57195770145
Google Scholar Profile: bK5JkV4AAAAJ
Impact
Qualifications (Brief)
BSc and MPhil (Hong Kong Baptist University)
PhD (The Hong Kong University of Science and Technology)
Biography
Dr. Cai obtained his PhD degree from The Hong Kong University of Science and Technology in 2022. He received his BSc and MPhil in Statistics from Hong Kong Baptist University. His broad area of interest lies in statistical machine learning and data science with applications in genetics and genomics data analysis. He has been working on scalable statistical methods for high dimensional regression problems and integrative analysis of multi-omics data.
Research Interests/Areas
- Statistical genetics/genomics
- Scalable Bayesian inference
- Empirical Bayes
- Risk prediction with bio-bank scale data
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 -
SDG 4 Quality Education
Fingerprint
- 1 Similar Profiles
Collaborations from the last five years
Research output
- 14 RGC 21 - Publication in refereed journal
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A unified framework for cell-type-specific eQTL prioritization by integrating bulk and scRNA-seq data
Yu, X., Hu, X., Wan, X., Zhang, Z., Wan, X., Cai, M., Yu, T. & Xiao, J., 6 Feb 2025, In: American Journal of Human Genetics. 112, 2, p. 332-352Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open Access5 Link opens in a new tab Citations (Scopus) -
Funmap: integrating high-dimensional functional annotations to improve fine-mapping
Li, Y., Xiao, J., Ming, J., Zeng, Y. & Cai, M., Jan 2025, In: Bioinformatics. 41, 1, btaf017.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)41 Downloads (CityUHK Scholars) -
Benchmarking Mendelian randomization methods for causal inference using genome-wide association study summary statistics
Hu, X., Cai, M., Xiao, J., Wan, X., Wang, Z., Zhao, H. & Yang, C., 8 Aug 2024, In: American Journal of Human Genetics. 111, 8, p. 1717-1735Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open Access49 Link opens in a new tab Citations (Scopus) -
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information
Wang, Z., Zhang, F., Zheng, C., Hu, X., Cai, M. & Yang, C., 2024, In: Journal of Computational and Graphical Statistics. 33, 4, p. 1339–1349 12 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
Wan, X., Xiao, J., Tam, S. S. T., Cai, M., Sugimura, R., Wang, Y., Wan, X., Lin, Z., Wu, A. R. & Yang, C., 2023, In: Nature Communications. 14, 7848.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile109 Link opens in a new tab Citations (Scopus)61 Downloads (CityUHK Scholars)
Projects
- 3 Active
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NSFC-YPC-HK: Statistical and Computational Methods for Causal Inference by Integrating Multi-population Genetic Data
CAI, M. (Principal Investigator / Project Coordinator)
1/01/26 → …
Project: Research
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ECS: Development of Statistical Methods for Multi-ancestry Transcriptome-wide Association Studies
CAI, M. (Principal Investigator / Project Coordinator)
1/09/25 → …
Project: Research
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REG-Small Scale: A Statistical Method for Expression Quantitative Trait Loci Mapping with Single-cell RNA-seq Data
CAI, M. (Principal Investigator / Project Coordinator) & HU, X. (Co-Investigator)
1/06/25 → …
Project: Research