People
Lab Members
Won Eui Hong, Ph.D.
Postdoctoral Research Scientist focusing on modeling gene regulatory networks using single-cell multiomics data. Holds a Ph.D. in Mathematical Sciences from Carnegie Mellon University, specializing in asymptotic behaviors of dynamical systems, variational techniques, and optimizations. Jointly mentored with Dr. Ying Wei.
Postdoctoral Research Scientist focusing on modeling gene regulatory networks using single-cell multiomics data. Holds a Ph.D. in Mathematical Sciences from Carnegie Mellon University, specializing in asymptotic behaviors of dynamical systems, variational techniques, and optimizations. Jointly mentored with Dr. Ying Wei.
Qi Liu, Ph.D.
Postdoctoral Research Scientist focusing on developing AI applications for healthcare and biomedical fields. Holds a Ph.D. in Electrical Engineering from City University of Hong Kong, specializing in utilizing structure-based models to achieve robustness and generalization in healthcare AI algorithms. Jointly mentored with Dr. Ying Wei (TRAIL). [homepage]
Postdoctoral Research Scientist focusing on developing AI applications for healthcare and biomedical fields. Holds a Ph.D. in Electrical Engineering from City University of Hong Kong, specializing in utilizing structure-based models to achieve robustness and generalization in healthcare AI algorithms. Jointly mentored with Dr. Ying Wei (TRAIL). [homepage]
Xu Liao, Ph.D.
Postdoctoral Research Scientist focusing on multi-modal modelling, representation learning and deep generative models. Holds a Ph.D. in Biostatistics and Health Data Science from Duke-NUS, specializing in developing statistical and deep learning methods for RNA velocity and integrative analysis of single and spatial omics data. [homepage]
Postdoctoral Research Scientist focusing on multi-modal modelling, representation learning and deep generative models. Holds a Ph.D. in Biostatistics and Health Data Science from Duke-NUS, specializing in developing statistical and deep learning methods for RNA velocity and integrative analysis of single and spatial omics data. [homepage]
Chhiring Y. Lama, BSc.
PhD Student (Y2024-Present) in Biostatistics focusing on developing statistical and mathematical framework for analyzing genetic and genomic data. Previously, she was a Computational Research Technician at Weill Cornell Medicine, analyzing scMultiomic data to study genotype–phenotype relationships in myeloproliferative neoplasm and classic Hodgkin lymphoma.
PhD Student (Y2024-Present) in Biostatistics focusing on developing statistical and mathematical framework for analyzing genetic and genomic data. Previously, she was a Computational Research Technician at Weill Cornell Medicine, analyzing scMultiomic data to study genotype–phenotype relationships in myeloproliferative neoplasm and classic Hodgkin lymphoma.
Zitao Zhang, BSc. [Research Internship Program, GEMS, at MSK]
MSc Student (Y2024-2026, Theory and Methods track) in Biostatistics, focusing on modelling the temporal gene expression using single-cell RNA sequencing data and its applications in cancer immunotherapy.
MSc Student (Y2024-2026, Theory and Methods track) in Biostatistics, focusing on modelling the temporal gene expression using single-cell RNA sequencing data and its applications in cancer immunotherapy.
Alumni
Xinyi Shang, MSc. (Y2023-2025, Theory and Methods track). Chair’s Award for research excellence. Future PhD student at UMass Amherst.
Aiying Huang, MSc. (Y2023-2025, Public Health Data Science track).
Lehan (Chloe) Zou, MSc. (Y2023-2025, Public Health Data Science track).
Yifei Zhao, MSc. (Y2022-2024, Theory and Methods track). Computer Engineer at DISH.
Jingyi Yao, MSc. (Y2022-2024, Theory and Methods track). PhD student at Boston University.
Wenhan Bao, MSc. (Y2021-2023, Theory and Methods track). PhD student at Florida University.
Tianchuan Gao, MSc.(Y2021-2023, Theory and Methods track). PhD student at Indiana University–Purdue University Indianapolis (IUPUI).