Biaobin Jiang was a Postdoctoral Researcher at Prof. Jiguang Wang’s Lab from March 2017 to June 2020. 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, 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 Postdoctoral Researcher in March 2017. During his period at Wang Lab, he focused on precision oncology driven by Next-Generation Sequencing data, including metastatic risk assessment, statistical detection of low-frequency mutations, and quantification of tumor mutation burden. He had experience working at Tencent AI Healthcare, and is now a tenure-track PI in Fudan University.
Yiyun Chen was a PhD student (February 2017 - August 2021) and Postdoctoral Fellow (September 2021 - May 2022) at Professor Jiguang Wang’s Lab. During the period, her main research directions include: (1) identification, prioritization and functional prediction of cancer-related long noncoding RNAs; (2) analysis of the single-cell immune microenvironment landscape and glioma-monocyte crosstalks in cancer evolution. She achieved seven publications and was awarded the George K Lee Foundation Scholarship and School of Science Postgraduate Research Excellence Award during her PhD study. She is now working on CAR-T clinical trials in pediatric and adult glioma as a Postdoctoral Fellow at Stanford University.
Yoonhee Nam was 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 and also discovering the pathogenesis of Arteriovenous malformation in brain. She is now a Postdoctoral Fellow at Columbia University, in the city of New York.
ZhaoShi Bao was a Postdoctoral Researcher at Prof. Jiguang Wang’s Lab from Febuary 2019 to Febuary 2020. He obtained his Bachelor and Master degrees in Clinical Medicine at the Capital Medical University in 2011. After three-year research at Beijing Tiantan Hospital, Capital Medical University, he earned his M.D. and Ph.D. degrees in Neurosurgery in 2014. He then joined in the Department of Neurosurgery at Beijing Tiantan Hospital in Aug 2014, where he was named as an attending doctor in Dec 2017. During the period at Wang Lab, his major research interest was personalized medicine for patients with glioma. Dr. Bao has been selected as a recipient of the Beijing Distinguish Young Scientists Fund in August 2020. He is now an independent PI in Beijing Tiantan Hospital.
Hanli Huang was a MPhil student at Prof. Jiguang Wang’s Lab from 2019 to 2022. 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's Lab in Department of Engineering Physics at Tsinghua University, China. He joined the Wang Lab as a research assistant to work on radiogenomics. He is now working at Shanghai golden leaf medtech company as a big data algorithms engineer.
Visiting Professor from CAS
Professor Yongcui Wang was a visiting professor at Professor Jiguang Wang’s Lab. During her visit, she focused on the development of computational models to study cancer drug sensitivity using deep learning algorithms. She obtained her PhD in Applied Mathematics from China Agricultural University, Beijing, China. She has been an Associate Professor in the Northwest Institute of Plateau Biology, Chinese Academy of Science since 2010. She was a visiting scholar in The Laboratory of Applied Bioinformatics, University of Kansas, a guest researcher in Biometric Research Branch, Division of Cancer Treatment and Diagnosis, National Cancer Institute, and a postdoc in Center for Bioinformatics & Systems Biology, Department of Radiology, Wake Forest School of Medicine. Her major research areas include data mining, machine learning and statistics.
Congmin Yuan was a PhD student in Professor Jiguang Wang's group. She obtained her bachelor's degree in Pharmacy at Fudan University in 2016 and proceeded with her MSc study in Professor Wei Fu's lab in the Department of Medicinal Chemistry at Fudan University. Her previous research focused on drug discovery and molecular simulation. She is now working at CITIC Securities as an industry analyst.
Ming Hong (James) was in Wang lab from 2017 to 2020, sequentially as a UG intern and an MPhil student of Bioengineering. In his undergraduate studies he explored multiple fields including molecular cloning and light sheet microscopy before locating his interests in computational biology. He did his UROP projec and FYP under the supervision of Prof. Jiguang Wang. In his postgraduate study, he was working on the phenotypic and genotypic analyses of brain cancer and single cell APA project. He won the 1st Runner-Up of the Hong Kong Medical & Healthcare Device Industries Association (HKMHDIA) Student Research Award, Joseph Needham Merit Scholarship, and the HKPFS in 2020, and he is now pursuing his PhD degree in a program, named Matter to Life, organized by the Max Planck School.
Fufang Qiu was a Research Assistant in Jiguang Wang's Lab. She obtained her Master degree majoring in Biotechnology at Hong Kong University of Science and Technology. She obtained her Bachelor of Medical Science in the Wenzhou Medical University in 2011. After graduated, she worked as a doctor at the pathological department in the People’s Hospital of Fenghua for 7 years. Since she joined Wang's Lab in 2018 fall, she accomplished a research on tumor purity from histological images [Poster] and cooperated with other member in studies on classifying the subtype of lung cancer using deep learning, and processing and labelling necrosis region in glioma in in histological images.
Hongyu Shi conducted her undergraduate research (UROP project, FYP, as well as a period of RA) at Professor Jiguang Wang’s Lab from February 2017 to June 2018. During the period, she helped with data visualization and web development. In addition, she focused on two major projects: 1) development of FLORA for identifying functional long noncoding RNA from RNA sequencing data, and 2) the study of allele specific expression in cancer. She obtained her Bachelor degree in Biochemistry and Cell Biology from HKUST in 2018, and she is now pursuing her PhD degree at Gerstner Sloan-Kettering Graduate School of Biomedical Sciences in the Memorial Sloan Kettering Cancer Center.
Intern PG Student from Heidelberg University
Paula Weidumüller worked as a postgraduate intern in Professor Jiguang Wang’s Lab between September 2018 and December 2018. She obtained her Bachelor degree in Molecular Life Sciences at the University of Hamburg. During her internship in Hong Kong, she worked on the coevolution of cyanophages with cyanobacteria in collaboration with Professor Qinglu Zeng. In addition, she also investigated the coevolution of the Hepatitis-B virus (HBV) with hepatocellular carcinoma (HCC). She is now pursuing her Master degree in Systems Biology at Heidelberg University. Meanwhile, she is still actively collaborating with Wang Lab to finalize different projects.
Exchange student from MIT
Lawrence Wong was an undergraduate exchange student working on an IROP project in Professor Jiguang Wang’s Lab in summer 2018. During the period, he developed a computational pipeline for mutation detection in RNA sequencing data. He is expected to obtain his Bachelor degree in Computer Science and Molecular Biology from Massachusetts Institute of Technology (MIT) in 2020.
Mingrui Jiang was a Research Assistant in Professor Jiguang Wang’s Lab from March 2018 to March 2019. He worked on radiogenomics and medical image analysis. He obtained his Bachelor degree in Computer Science and Economics from University of Michigan Ann Arbor, Michigan, USA. He is now running a start-up company named Bit Capital.
Xiangcheng Shi was an MSc Student in Professor Jiguang Wang's Lab from September 2018 to September 2019. In this period, he was developing a computational method to automatically distinguish the origins of cancer cells based on digital pathology, in collaboration with Mingrui Jiang and Hanli Huang. He obtained his Bachelor of Science at Inner Mongolia University in 2017. After graduation, he worked as a research assistant at the Department of Mechanical and Energy Engineering in the Southern University of Science and Technology for one year. He will pursue his PhD degree in the Department of Chemistry at the National University of Singapore.
Nasir Mahmood Abbasi was a Research Assistant in Professor Jiguang Wang’s Lab. At Wang Lab, he worked on the development of computational pipelines and webpage maintenance. He obtained his Master degree in Bioinformatics from Uppsala University, Sweden. He has also worked as a Research Assistant on the bioinformatic analysis of bacterial genome in Sweden, followed by another project on the bioinformatics analysis of Bacteroidetes with Francisco Rodriguez in Miguel Hernández University of Elche, Spain.
Shengshuo Huang was an MPhil student in Professor Jiguang Wang's Lab at Division of Life Science from February 2018 to June 2020. 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. During the period at Wang Lab, his research focused on functional prediction of lncRNA and single cell RNA sequence analysis for cancer treatments.