May 1031, 10088
Feng Gao (PhD Student, 2015.09-2018.08)
Feng mainly focused on applying artificial intelligence techniques 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
Feng was jointly supervised with Prof. Andrew Yen at Cornell University
Now: Associate Professor at Sun Yat-sen University, Guangzhou, China
Xin Duan (Research Assistant, 2015.09-2017.12)
Xin DUAN worked on drug screening by analyzing brain activity maps of zebrafish models.
Wei Wang (PhD Student, 2015.09-2019.08)
Wei worked on cancer subtyping, prognostic and diagnostic biomaker development as well as elucidating cancer subtype-specific regulatory mechanisms.
Now: Principal Investigator at Laboratory of Big Biomedical Data, Huzhou Women and Children’s Hospital, Zhejiang, China
Yuchen Zhang (PhD Student, 2015.09-2019.08)
Yuchen started focusing on bioinformatics during master study. He mainly worked on cancer-specific regulatory network inference.
Now: Lecturer at College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang Province, China
Ying Li (PhD Student, 2017.09-2021.01)
Ying worked on cancer subtyping by linking intra-tumor and inter-tumor heterogeneity.
Now: Lecturer, College of Information and Computer, Taiyuan University of Technology, Shanxi, China
Lina Zhu (PhD Student, 2016.09-2022.02)
Lina worked on cancer genomics and bioinformatics, focusing on non-coding RNA regulations.
Joint PhD Student with Cornell University.
Now: Bioinformatician at Central South University, Changsha, China
Hao Huang (PhD Student, 2017.09-2021.10)
Hao’s research was focused on integrative analysis of ChIP-seq and RNA-seq data to dissect
epigenetic regulations in cancer.
Joint PhD Student with Cornell University.
Now: Associate Professor at Southeast University, Nanjing, China