People

	Dr Xin WANG Assistant Professor, Department of Biomedical Sciences, City University of Hong Kong Postdoctoral Fellow, Harvard Medical School, Dr. Peter Kharchenko PhD, Department of Oncology and Cancer Research UK Cambridge Institute, University of Cambridge, Dr. Florian Markowetz Office: 1B-102, 1/F, Block 1, To Yuen Building Phone: +852 3442-2367 Fax: +852 3442-0549 Email: xin.wang_at_cityu.edu.hk
	Feng GAO Joint PhD Student with Cornell University B.E in Computer Science and Technology Feng is mainly focusing on applying artificial intelligence technologies such as deep learning to cancer research, including but not limited to patient stratification, biomarker and target discovery. Linkedin: https://hk.linkedin.com/in/feng-gao-3b7bb33a
	Wei WANG PhD Student M.S in Microbiology Wei is currently working on cancer prognosis prediction, including building a new model to predict relapse and identifying predictive biomarkers.
	Xin DUAN Visiting PhD Student M.E in Pattern Recognition Xin DUAN has expertise at image processing and is currently working on drug screening using brain image in zebrafish model.
	Yuchen ZHANG PhD Student M.E in Pattern Recognition Yuchen started focusing on bioinformatics during master study. Now his interests are mainly on cancer-specific regulatory network analysis and data mining problems in epigenetics.
	Lina ZHU Joint PhD Student with Cornell University B.S in Bioinformatics Lina is in her 2nd year of PhD, devoting herself to applying bioinformatics into epigenetics.
	Hao HUANG Joint PhD Student with Cornell University M.S in Biophysics Hao is mainly focusing on applying bioinformatics to cancer research.
	Ying LI PhD Student M.S in Bioinformatics Ying is currently working on analyzing intra-tumor and inter-tumor heterogeneity and developing a model for a combinatorial prognostic biomarker.
	Lin QI Visiting Master Student M.E in Pattern Recognition Lin was started to get involved in research of bioinformatics during his master study. He is currently working on integrate analysis of multi-omic data.