Principal Investigator (PI)
Assistant Professor | Meakins-Christie Laboratories, Faculty of medicine, McGill University.
Affiliate member, Mila - Quebec AI Institute
Associate member, School of Computer Science, McGill University
QLS Program Researcher
Associate member, Department of Biomedical Engineering
Associate member, Department of Human Genetics
office: RI-MUHC, Block E, Office EM3.2212, 1001 boul Decarie, Montreal, QC, H4A 3J1, Canada
Jun received a PhD in Computer Science at University of Central Florida. He then completed a four-year postdoctoral fellowship in computational biology with Ziv Bar-Joseph (2012 Overton Prize winner) at Carnegie Mellon University. In 2021, he joined the Meakins-Christie Laboratories at McGill University as a tenure-track assistant professor.
Yong Jin KweonPhD Candidate
Jin received a bachelors degree in Statistics at the University of California, Berkeley. Previously, Jin studied auditory working memory performance and multi-omics integrations. His research project is on AI drug design: he wants to find a specific drug targeting to certain diseases.
Kai Lu SongPhD Candidate
Kai Lu is a PhD student in quantitative life science. She received her bachelor's degree in electrical engineering at Purdue University and master's degree at Cornell University. Before join Dr. Ding's lab, she was working as a principal programmer at a leading pharmaceutical company to develop anti-cancer drug therapy. Her research interests are developing machine learning models to analysis single-cell omics data and AI drug discovery.
Jingtao WangPhD Candidate
Jingtao received his B.E. in Computer Science at Harbin Institute of Technology in China, and an M.S. in Automated Science at Carnegie Mellon University in the US. His research interest is the application of machine learning (particularly deep learning and active learning) on single cell data.
Yumin ZhengPhD Candidate
Yumin is a PhD student in Quantitative Life Science (QLS). He received his Bachelor's degree in Internet of Things Engineering at Beijing University of Posts and Telecommunications (BUPT) in China (2020). His research interests include machine learning and deep learning algorithms in the biological and medical fields. Currently, Yumin is developing machine learning models for single-cell data to analyse disease progression and to discover drugs.
Xiaoxiao ShangPhD Student
Xiaoxiao is a PhD student in Mathematics and Statistics, and she received her B.S. from McGill University. Her research interest is in developing graph-based machine learning models for cell segmentation.
Yasmin JolasunMaster Student
Yasmin is a second-year M.Sc. student in Experimental Medicine at McGill University. She received her bachelor's degree in Bioinformatics at Université de Montréal (2022). Her research interests comprise utilizing bioinformatics tools and machine learning approaches in the medical field.
Vishvak RaghavanMaster Student
Vishvak is a M.Sc. student in Computer Science at McGill University. He earned his B.Sc. from McGill University, pursuing a joint honours in Computer Science and Biology. His research pursuits are centred around applying cutting-edge machine learning techniques and agent-based models to intricately study cell trajectory.
Guo JiangMaster Student
Guo is a first-year M.Sc. student in Experimental Medicine at McGill University. He received his bachelor's degree in Yingcai Honor Program of UESTC . His research interests lie on multimodal techniques and machine learning approaches in the medical field.
Bowen ZhaoMaster Student
Bowen is a first-year M.Sc. student in Experimental Medicine at McGill University. He received his bachelor's degree in Biology at Shandong University(2020) , and a master's degree in Bioinformatics at Shanghai Jiaotong University(2023) . His research interest is the application of deep learning method on single cell data.
Jiahui TanMaster Student
Jiahui is a first-year M.Sc. student in Experimental Medicine at McGill University. She received her bachelor's degree in Sun Yat-sen University (2023) . Her research interests comprise utilizing machine learning approaches to analyze single-cell data to advance disease knowledge and medication development.
Hassan GaberUndergraduate Student
Hassan Gaber is a third year undergraduate student in the Electrical Engineering program at McGill University. The research areas of interest to Hassan are data mining, data visualization, and leveraging machine learning models for drug development. Currently, he is participating in the Lab's research for developing an interactive cell dynamics platform.
Paul HansenUndergraduate Student
Paul Hansen is a third year undergraduate in the honours Computer Science and Physics at McGill University. program at McGill. His research interest is data visualization and machine learning applications in the medical field. He is currently supporting the lab in its reaserch into the IPF-disease by developing interactive visualization methods.
Shuaishuai JiangUndergraduate Student
Shuaishuai is a third year undergraduate student at McGill University majoring in Computer Science. Her research interests include machine learning applications and data visualization. She is currently working on developing interactive visualization methods for dynamic single-cell data.
Yiyang WangUndergraduate Student
Yiyang wang is a second-year undergraduate pursuing a joint Bachelor's degree in Biology and Mathematics at McGill University. His areas of research include data analysis. Yiyang is currently working with our lab collaborators to analyze single-cell expression data.
Yiqing ZhuUndergraduate Student
Yiqing Zhu is a third year undergraduate student pursuing a Bachelor's degree in Computer Science with minor Statistics at McGill University. Her research interests include machine learning and data visualization in the medical field. Currently, she is working with our lab collaborators in developing interactive visualization methods for dynamic single-cell omics data.
Joey ChuangUndergraduate Student
Joey Chuang is a fourth year undergraduate in Computer Science Major at McGill University. He is currently working on BULK RNA-seq analysis.
Marvin LiUndergraduate Student
Marvin Li, a senior undergraduate at McGill University, is pursuing Bachelor of Bioengineering with a minor in math. He has a research focus on utilizing generative and discriminative models. Presently, He's developing method for diagnosing disease makers.
Huilin TaiUndergraduate Student
Huilin is a third year undergraduate student in statistics and computer science program at McGill University. Her research interest is data mining and machine learning applications in the medical field. Her current project focuses on leveraging machine leaning models to identify gene markers.
Ruohan WangUndergraduate Student
Ruohan is an undergraduate student in Honours Computer Science with a Minor in Mathematics at McGill University, joined the lab with a keen interest in computational biology, particularly machine learning applications. Currently, her research is centered around the development of a deep learning-based model for accurately quantifying transposable elements within multi-omics single-cell sequencing data.
Signe HoelUndergraduate Student
Signe Hoel is a fourth year undergraduate student in the Computer Science and Biology program at McGill University. Her research interests include the application of machine learning on high-dimensional biological datasets. She is currently investigating the benefits of ensemble classification methods for integrating multi-omics datasets.
Yanshuo ChenPhD Student in the University of Maryland
Yanshuo Chen joined the lab as a MS student in Exp Med program. He recieved his B.Sc in Biological Sciences at Tsinghua University. His research interests focus on genomics and protein design. He aims at building "small and effective" algorithms for interesting biological topics.
Xue ErPhD Candidate in the Carnegie Mellon University
Xue Er joined the lab as a second year undergraduate student in Honours Computer Science and Biology at McGill University. Her research interests include bioinformatics and machine learning applications in the health sciences. She is currently working on developing graph-based machine learning models for single-cell data analysis.
Sonia SharapovaMaster Student in the University of Chicago
Sonia joined the lab as a fourth year undergraduate student pursuing a joint Bachelor's degree in Computer Science and Biology at McGill University. Her areas of research include data analysis and machine learning for diseases. Currently, Sonia is working with our lab collaborators in finding immune genes prevalent in fungal infections.
Xiong YiweiAmazon, Toronto
Yiwei joined the lab as finishing his undergraduate degree in Computer Science and Mathematics at McGill University. He is working on the study of links between COVID-19 and clinical variables using Bayesian Network.
Bridge the biomedical data and discovery!