基本信息
地址: G栋
邮箱: zhangyang07@hit.edu.cn
研究方向
My research interest combines computational and experimental approaches for pathogen and cancer research. On the computational side, my group is both developing and applying the latest deep learning technologies to analyze a wide range of biological and biochemical data, including (i) developing Artificial Intelligence (AI)-powered smart microscopic imaging to accelerate disease diagnostic and drug discovery. (ii) enabling deep learning techniques to be applied to omics data, (e.g. modeling of proteins, DNAs, miRNAs, LncRNAs, and mRNAs and their interactions, structures and/or dynamics in molecular, cellular and tissue level), for the discovery of novel diagnostic biomarkers and therapeutic targets. (iii) the use of deep learning in cheminformatics and chemical biology in guiding drug discovery to target those therapeutic targets and fight against disease. On the experimental side, my group combines imaging, high-throughput sequencing, mass spectrometry, and chemical biology to mechanistically understand diseases at the molecular level by addressing the fundamental question of how those molecules shape the disease systematically.
研究经历
2011/09-2012/03 香港大学李嘉诚医学院/University of Hong Kong,Research Assistant
2015/09-2020/12 哈尔滨工业大学(深圳)/Harbin Institute of Technology (Shenzhen), Assistant Professor
2021/01-Present 哈尔滨工业大学(深圳)/Harbin Institute of Technology (Shenzhen), Associate Professor
2024/07- 东京大学/ University of Tokyo, Japan, Visiting Professor
Associate editor: BMC Biology; Frontiers in Microbiology
Academic editor: PLOS Genetics
Editorial Board Member: Communications Biology
Guest editor: Trends in Analytical Chemistry. Special Issue: AI in analytical chemistry: from methodology to applications
学习经历
2009/09-2011/08 香港大学(University of Hong Kong),巴斯德研究中心(HKU-Pasteur Research Center),硕士(M.Phil.)
2012/04-2015/08 剑桥大学(University of Cambridge),病理系(Department of Pathology),博士(Ph.D.)
教学课程
现代生物学导论(本科生公共基础课) Introduction to Modern Biology
生物分析化学(研究生)Bioanalytical Chemistry