Jiguang Wang

Jiguang WANG (王吉光)

Principal Investigator

PhD in Applied Mathematics

AMSS, CAS

Yanbing WANG

Yanbing WANG (王雁冰)

Research Assistant Professor

2024.2.19 -- present, PhD in Biostatistics, Boston University

Yanbing WANG joined the group as a Research Assistant Professor. She received her Bachelor’s degree from Kent State University, Master’s degree from Brown University, and Ph.D degree from Boston University in 2021. She completed her post-doctoral training in HKU and then joined Wang’s lab since February 2024. Her research focuses on developing and applying the statistical methods in genome-wide association studies to elucidate the genetic architecture of complex diseases.


Rickie LEUNG

Rickie LEUNG (梁煒華)

Lab Manager

2021. -- present, B.S. in Biochemistry, HKUST

Life Science Technical officer, Mr. Rickie LEUNG, has joined WANG Lab since 2021. He served as technical support and liaison person for both dry lab and wet lab.


Yumeng GUO

Yumeng GUO (郭雨萌)

Postdoctoral Researcher

2020.9.29 -- present, PhD in Computer Science, HKPolyU;

PhD in Control Science and Engineering, Tongji University

Yumeng GUO is a Post-doctoral Fellow working in the Wang Lab. He received his Bachelor and Ph.D. degree from Tongji University in 2013 and 2019, respectively. In June 2021 he obtained his Joint Ph.D degree from Hong Kong Polytechnic University. He joined the Wang lab in Sep 2020 as a Post-doctoral Fellow, working on whole slide image (WSI) classification task with novel machine learning methods and deep learning techniques.


Yingxi YANG

Yingxi YANG (楊影茜)

Postdoctoral Researcher

2019.8.15 -- present, PhD in Bioengineering, HKUST

Yingxi YANG is a Post-doctoral Fellow at the Department of Chemical and Biological Engineering. She obtained her Bachelor's and Master's degree at University of Science and Technology Beijing. In September 2019, she joined the Wang lab and finished her Ph.D. in July 2023. Her current research focuses on the identification of novel biomarkers within vascular malformations.


Haixia SHANG

Haixia SHANG (尚海霞)

Postdoctoral Researcher

2021.7.2 -- present, PhD in Biomedical Engineering, Shandong University

Haixia SHANG is a Post-doctoral Fellow working in the Wang Lab. She received her Bachelor's degree from Shandong University in 2016. Then, she continued to pursue a master degree in Shandong University with guide of Professor Shoushui Wei, her research focuses on developing methods for identifying feature points and classifying wave morphology of biomedical signal, especially ECG signals. In 2018, she transferred into a Phd candidate, and started to pursue a doctor degree in Shandong University with guide of Professor Zhi-ping Liu, her research focuses on developing computational methods especially network-based methods for identifying disease genes or biomarkers of complex diseases. In June 2021, she obtained her Ph.D. degree, and joined in Wang Lab, now her research focuses on developing novel bioinformatics and computational tools to track glioma evolution.


Hui WANG

Hui WANG (王輝)

Postdoctoral Researcher

2022.8.1 -- present, PhD in Computer Science and Technology, Chinese Academy of Sciences

Hui WANG is a Post-doctoral Fellow working in the Wang Lab. He received his Bachelor degree from University of Science and Technology Beijing in 2017. Then he continued pursue a Ph.D. degree in Institute of Computing Technology Chinese Academy of Sciences in 2022. During his Ph.D. training, he focuses on the structural identification algorithm of glycan using mass spectrometry. In August 2022, he obtained his Ph.D. degree, and joined the Wang lab as a Post-doctoral Fellow, working on the mass spectrometry analysis of glioma.


Zheng WANG

Zheng WANG (王政)

Postdoctoral Researcher

2023.11.01 -- present, PhD in Neurosurgery, Capital Medical University

Zheng WANG is a Post-doctoral Fellow working in the Wang Lab. He received his Bachelor and Ph.D. degree from Capital Medical University in 2012 and 2018, respectively. He has been working as a neurosurgeon since Aug 2018 in Beijing Tiantan Hospital. Since 2012, under the guidance of Professor Tao JIANG, he has been focusing on precision medicine of glioma. He joined the Wang lab in Nov 2023 as a Post-doctoral Fellow, working on the developing and relapsing mechanism of glioma.


Yunqing LIU

Yunqing LIU (劉雲清)

Postdoctoral Researcher

2023.11.13 -- present, PhD in Mechanical Engineering, SJTU

Yunqing LIU is a Post-doctoral Fellow working in the Wang Lab. He earned his bachelor's degree from Shandong University in 2018 and subsequently obtained his doctoral studies under Professor Chengliang LIU at the School of Mechanical Engineering, Shanghai Jiao Tong University in 2023. His PhD research centered on the intelligent diagnosis of electrocardiograms, focusing specifically on the development of efficient and streamlined models for this application.


Ming YANG

Ming YANG (楊明)

Postdoctoral Researcher

2024.03.18 -- present, PhD in Biochemistry and Molecular Biology, Sun Yat-Sen University

Ming YANG is a Post-doctoral Fellow at the Division of Life Science. She received her Bachelor and Ph.D. degree from Sun Yat-Sen University in 2011 and 2017 supervised by Professor Suhua Shi and Professor Chung-I Wu. Then, she went to the University of Washington to do post-doc research in aging and age-related disease with the guidance of Professor Daniel Promislow. In March 2024, she joined the Wang lab as a Post-doctoral Fellow. Her current research focuses on aging and cancer.


Dong SONG

Dong SONG (宋東)

PhD Student, HKPFS Awardee

2019.8.15 -- present, M.S. in computational biology, SJTU

Dong SONG is a PhD student in Professor Jiguang WANG's group. He obtained his bachelor's degree in bioinformatics at Shanghai Jiao Tong University(SJTU) in 2016, during which he focused on computational chemistry and structural biology. He proceeded with his M.S. study in Professor Haifeng CHEN's lab at SJTU. His M.S. thesis is focused on precise protein force fields developing, in which he built 3 novel well-performed force fields. His current research interest is mechanism revealing of cancer and functional prediction of ncRNA.


Zongchao MO

Zongchao MO (莫宗超)

PhD Student

2020.9.15 -- present, M.S. in Biochemistry and Molecular Biology, SCUT

Zongchao MO is a PhD student in Professor Jiguang WANG's group. He obtained his bachelor's degree in Biotechnology and Master degree in Biochemistry and Molecular Biology at South China University of Technology (SCUT) in 2017 and 2020, respectively. He is also a member of joint program held by BGI and SCUT during 2016-2020.


Jiabao LI

Jiabao LI (李佳寶)

PhD Student (Co-advisor: Dr. Quanhua MU), HKPFS Awardee

2020.8.15 -- present, MPhil in Life Science, HKUST

Jiabao Li is a PhD student in the Wang Lab. He received his Bachelor of Science (Honors) degree in Chemical Biology from Xi'an Jiaotong University, where he focused on modeling and simulation analysis of directed evolution systems under the supervision of Prof. Dan Tan. During his MPhil studies in WangLab@HKUST, he concentrated on the spatiotemporal modeling and computational analysis of brain tumors. Currently, he is focusing on the evolution of brain tumor cells using both computational methods and experimental data.


Xiaomeng ZHANG

Xiaomeng ZHANG (張曉萌)

PhD Student (Co-advisor: Prof. Can YANG)

2020.9. -- present, M.P.H. in Biostatistics, Yale University

Xiaomeng ZHANG is a PhD Student in Professor Jiguang WANG's group. She obtained her bachelor's degree in bioinformatics at Shanghai Jiao Tong University (SJTU) in 2019 and her Master of Public Health degree in biostatistics at Yale University in 2020. Then she was admitted into Department of Date Science and Analytics in Information Hub of HKUST (Guangzhou). Her current research interest is bioinformatical analysis of alternative splicing related to tumor recurrence.


Jihong TANG

Jihong TANG (唐吉宏)

PhD Student, HKPFS Awardee

2021.8.15 -- present, B.S. in Biology, Nanjing University

Jihong TANG is a Ph.D. student in Life Science (Scientific Computation Concentration) at the Wang Lab. He received his Bachelor's degree from Nanjing University, China. After graduated from Kuang Yaming Honors School in 2020, he worked as a research assistant in Prof. Jianqun CHEN's Lab in the School of Life Science at Nanjing University. He focused on the computational identification of Type II Diabetes-related epigenomic biomarkers during his career at Nanjing University. His current research interest is on brain tumors related computational methods development and analysis.


Mengli YAN

Mengli YAN (閆夢麗)

PhD Student (Co-advisor: Prof. Yusong GUO)

2022.1. -- present, M.S. in Medicine, Peking Union Medical College Hospital

Mengli YAN joined the Wang lab as a PhD student in life science in 2022. Mengli got her Bachelor's degree of science in Medical Laboratory Technology (Pathological Laboratory Technology) at Harbin Medical University in 2017 and then obtained her Mater's Degree of Medicine on Pathology and Pathophysiology at Peking Union Medical College Hospital in 2020. After that, she worked as a research assistant in School of Pharmaceutical sciences, Tsinghua University as a research assistant in Dr.Haidong Tang's lab, mainly worked on treatment of hepatitis B virus infection. Her current research interest is on using both wet lab methods and bioinformatic methods to solve clinical problems, especially about cancers.


Yuyan RUAN

Yuyan RUAN (阮鈺燕)

PhD Student (Co-advisor: Prof. Hao CHEN), Red Bird Awardee

2022.8.15 -- present, B.Eng in Computer and Data Engineering, HKCityU

Yuyan RUAN is a Ph.D. student in bioengineering (scientific computation concentration) at the Wang Lab. She received her bachelor's degree from City University of Hong Kong. She worked on medical image super-resolution supervised by Dr. Yuan Yixuan and Dr. Chen Hao as an FYP student. In her Ph.D. study, she will explore multimodal deep learning models for brain tumor analysis.


Zhi HUANG

Zhi HUANG (黃智)

PhD Student, Red Bird Awardee

2022.8.15 -- present, B.S. in Mathematics, China university of Petroleum (Beijing)

Zhi HUANG is a Ph.D. student in bioengineering (scientific computation concentration) at the Wang Lab. He received his bachelor's degree from China University of Petroleum(Beijing). His current research interest is on drug combination prediction using multi-omics data.


Minghao WANG

Minghao WANG (王明灝)

PhD Student (Co-advisor: Prof. Hao CHEN)

2023.8.15 -- present, M.S. in Big Data Technology, HKUST

Minghao WANG is a Ph.D. student in bioengineering (scientific computation concentration) at the Wang Lab. He completed his bachelor's degree at Southeast University in 2022. He obtained his Master's degree in Big Data Technology from HKUST in 2023. Currently, his research interests include the application of biological foundation models, medical computer vision, and trustworthy machine learning.


Jooran LEE

Jooran LEE (李週兰)

MPhil student, Asian Future Leaders Scholarship Program (AFLSP) Awardee

2023.1.16 -- present, B.Eng in Bioengineering, HKUST

Jooran LEE is an MPhil student at the Wang lab who has completed undergraduate study in the HKUST. She majored in Bioengineering and had several research experiences in the field of cancer genomics. She has a research experience in Wang's lab during her undergraduate study and completed her final year thesis in Wang's lab. Her research focus is a computational biology on investigating roles of non-coding genomes in brain cancer.


Qi AN

Qi AN (安淇)

MPhil student

2023.6. -- present, M.S. in Biotechnology, HKUST

Qi AN is currently a MPhil student in Life Science at the Wang Lab. She completed her bachelor's degree at the University of Melbourne in 2020, where her studies revolved around investigating host immune responses to microbes. She then obtained a master's degree in Biotechnology at HKUST in 2023. Her research interests lie in unravelling the mechanism of driver genes for rare tumours by combining wet lab experimentation with bioinformatics methods.


Can NI

Can NI (倪燦)

MPhil student (Primary advisor: Prof. Qinglu ZENG)

2023.9.4 -- present, B.Eng in Biomedical Engineering, Peking University

Can NI is a 1st-year Mphil student in OCES, under supervision of Prof. Qinglu ZENG and Prof. Jiguang WANG. Her previous research mainly focused on the genomic characteristics and microbial interactions of pathogenic bacteria in the environment and human gut. Currently she works on the genomic analysis of marine bacteria and phages.


Mengqi YANG

Mengqi YANG (楊夢琦)

PhD student (Primary advisor: Prof. Kun SUN)

2023.9.4 -- present, M.S. in Biotechnology, HKUST

Mengqi YANG is a Ph.D. student in Life Science (joint program with Shen Zhen Bay Lab, Professor Kun SUN) at Wang Lab. She completed her bachelor's degree at Jinan University in 2019, where her research included neurotoxicology. She got her Master's degree in Biotechnology from HKUST in 2020. She worked as a research assistant in Prof. Kun SUN lab between 2021 to 2023. Currently, her research interests include non-invasive diagnosis and cancer metastasis mechanism exploration combined with bioinformatic methods for cancers.


Kewei XIONG

Kewei XIONG (熊可為)

PhD student (Primary advisor: Prof. Lei Li)

2023.9.4 -- present, B.S. in Mathematics, Central China Normal University

Kewei XIONG is a Ph.D. student in Life Science (scientific computational concentration) at Wang Lab. He received his bachelor's degree from Central China Normal University. His current research interest is on single-cell algorithm development for cancer and gene regulation.


Yimeng QIAO

Yimeng QIAO (喬藝萌)

Research Assistent

2024.3.18 -- present, M.S. in Software Engineering, Fudan University

Yimeng QIAO is a Research Assistant in the Wang Lab. She will enroll in bioengineering (scientific computation concentration) Ph.D program this fall. Previously, she received her Bachelor's degree in Software Engineering from Shandong University in 2020 and subsequently obtained her master's degree in Software Engineering from Fudan University in 2023. Her master's research focused on AI for Database, especially learning-based large-scale data approximate visualization. Currently, her research interest is the application of deep learning in life science, especially in cancer genomics.


Alumni