Jiguang Wang is an Assistant Professor in the Division of Life Science, Department of Chemical and Biological Engineering, the Hong Kong University of Science and Technology. He received his Ph.D. in Applied Mathematics from Chinese Academy of Sciences. From 2011 to 2015, he worked as a Postdoctoral Research Scientist in Raul Rabadan's lab at Columbia University. There, he developed a computational method—TEDG which reconstructs the evolution history of chronic lymphocytic leukemia. He also collaborated with Uttiya Basu in the Department of Microbiology and Immunology at Columbia on a project of noncoding transcriptomes. In 2015, Dr. Wang was named as an Irving Institute Precision Medicine Fellow and promoted to Associate Research Scientist and Faculty Member of Department of Biomedical Informatics. He focused on the study of precision medicine of Glioblastoma under therapy. In December 2016, he joined HKUST and established his own lab. His current interests are in the research of computational methods in cancers.
Biaobin Jiang is an Institute for Advanced Study (IAS) Postdoctoral Fellow at the Wang Lab. He obtained his Bachelor degree in Pharmaceutical Engineering at Beijing Institute of Technology in 2009. After one-year research intern at Academy of Mathematics and Systems Science, Chinese Academy of Sciences, he attended graduate school at Purdue University, West Lafayette, Indiana, the United States, where he earned his Ph.D. in Computational Biology in 2016. He then moved to Icahn School of Medicine at Mount Sinai, New York, for postdoc training. He joined in the Department of Biomedical Engineering, HKUST, as a Postdoc Fellow in March 2017, and he was named as an IAS Postdoctoral Fellow in May 2017. Now he focuses on precision oncology driven by Next-Generation Sequencing data, including inference of tumor evolution, development of combination therapy, and post-treatment surveillance.
Hanli Huang is a Research Assistant in Jiguang Wang's Lab. He obtained his Bachelor degree in Engineering Physics from Tsinghua University, China. Then he focused on developing image process algorithms in Dental Digital Radiography project and Dual Energy X-ray Bone Mineral Density project in Prof. Liang Li' Lab in Department of Engineering Physics at Tsinghua University, China. He joined the Wang Lab as research assistant to work on radiogenomics.
Mingrui Jiang is a Research Assistant in Jiguang Wang's Lab. He obtained his Bachelor degree in Computer Science and Economics from University of Michigan Ann Arbor, Michigan, USA. Currently, he is working on radiogenomics and medical image analysis.
Yiyun Chen is a PhD student in Professor Jiguang Wang's group. She obtained her bachelor degree in biochemistry at HKUST, during which she was trained in several labs on cancer and developmental biology. She proceeded with her MPhil study in Professor Mingjie Zhang's lab at HKUST. Her MPhil thesis is focused on the structure and regulation of several myosin superfamily proteins. Her current research focus is the genomic and transcriptomic analysis of cancer and psychiatric disorders.
Quanhua Mu is a PhD student at the Wang Lab. He received his Bachelor's and Master's degree from Nankai University, China, where he worked on proliferation and dissemination of antibiotic resistance genes using high-throughput sequencing. He has also worked with human gut microbiome data while he was a bioinformatician at QuantiHealth Co., Ltd.’ In his PhD studies he will focus on using bioinformatics and data science tools to find novel drivers and potential targets for precision medicine of gliomas.
Yoonhee Nam is a PhD student in Professor Jiguang Wang's Lab. She obtained her Bachelor degree in Biochemistry (Chemistry) with a minor in Biology at Purdue University in 2016. During her undergraduate studies, she worked in Dr. Philip S. Low's lab as an undergraduate research assistant. She helped with the synthesis of small molecules and protein linkers to achieve bone anabolism. She started the PhD program at Division of Life Science, HKUST, in February 2017. Her research focus is genomic data analysis for improvement of cancer treatments.
Shengshuo Huang is a PhD student in Professor Jiguang Wang's Lab. He obtained his Bachelor degree in Biotechnology (Bioinformatics) with a minor in Arts at Shanghai Jiao Tong University in 2017. During his undergraduate studies, he focused on molecular dynamics simulation and computer aided drug design in Prof. Fang WU's Lab in Shanghai Center for Systems Biomedicine, China. Then he visited Prof. Luonan Chen's Lab in Shanghai Institutes for Biological Science, CAS, China during 2017 Fall term, where he worked on SCLC sequence analysis. He started the PhD program at Division of Life Science, HKUST, in February 2018. His current research focus is genomic and transcriptomic analysis for cancer treatments.
Yongchui Wang obtained her Ph.D. in Applied mathematics from China Agricultural University, Beijing, China. She has background in data mining, machine learning and statistics. During her visit at the Wang Lab in August 2017, she developed computational models to study cancer drug sensitivity using deep learning algorithms.
Hongyu Shi is an undergraduate student in Professor Jiguang Wang’s Lab. Her major is Biochemistry and Cell Biology. She used to be an UROP student in Prof.Wen’s lab working with zebrafish. She is now working on the integration of cross-sectional and longitudinal genomic data from patients with brain tumors. In addtion, she also helps with data visualization and web development in the Wang Lab.
Ming Hong is a local undergraduate majoring in Biochemistry and Cell Biology. In his UROP experience, he has worked with fusion protein design, light sheet microscopy and genomic sample preparation. At Wang Lab, he is now working with HKUST Department of Engineering to extract features from pathological images and to associate them with potential treatments using machine learning.