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Dr. Jacques research interests are in integrative biology and computational genomics with a special emphasis on applications of high throughput sequencing technologies. His lab develops advanced tools to enable large-scale applied research projects.
Qian Lin is a systems neuroscientist who studies the neural computation of cognition, by whole-brain single-neuron recordings in behaving zebrafish. Before joining UofT, she was a Leon Levy postdoctoral fellow at the Rockefeller University in NYC and Research Institute of Molecular Pathology in Austria. She got her Bachelor at the University of Science and Technology of China, and PhD at National University of Singapore.
Our lab uses machine learning and artificial intelligence to do biomedical research, focusing on cancer evolution, gene regulation, clinical informatics, and gene function prediction. A key interest is the role of RNA-binding proteins (RBPs) in post-transcriptional regulation. We focus on developing computational and experimental techniques to determine the RNA specificities of RBPs (both sequence and structural) and use these specificities to predict their target transcripts, determine RBP function, and ultimately decipher the regulatory code. Another focus is reconstructing and modelling somatic evolution (pre- and post-cancer) using bulk and single-cell genomic data. In general, we are focused on using large, heterogeneous functional genomic datasets to uncover insights about gene function. Recently, we have becoming increasingly interested in using artificial intelligence and predictive analytics, along with electronic medical records, to inform patient care, particularly in the domain of auto-immune disease.
Our research traverses from genomes to small molecules integrating systems, structural and computational pharmacology as well as chemo- and bioinformatics. Our work is divided into four interconnected but independent axes within which we combine the development and use of innovative computational methods with experimentally validation. Namely: 1. The reconstruction and simulation of metabolic networks; 2. The detection of binding-site structural similarities; 3. Simulation of dynamic aspects of protein function; and 4. The development of docking algorithms.
Richard has been involved in the implementation and use of high-throughput sequencing analysis pipelines for genomic and transcriptome data sets. Currently, he is developing tools for the analysis of SARS-CoV-2.
Rob (or “Dr. Robert Beiko”, if you want to be all formal about it) is an Associate Professor and Canada Research Chair in Bioinformatics in the Faculty of Computer Science at Dalhousie University. Before coming to Dal in 2006, he was a postdoc in the lab of Mark Ragan at the University of Queensland in Brisbane, Australia. And before that, he completed a PhD in Biology at the University of Ottawa (1998-2003). Although all of his formal training was in biology, an interest in machine-learning approaches, algorithms for identifying important evolutionary events, and visualization of biological data have ultimately led him to put down stakes in Computer Science and collaborate with some of the best in the business here.
After completing a postdoctoral position in Australia, Rob joins the team as a Bioinformatics consultant specializing in fungal/plant genetics and developing omics resources, strategies, and infrastructure for laboratories working with non-model organisms. He has more than a decade of experience working in genomics, and holds a PhD in bioinformatics from Curtin University.
Robin is a microbiologist with experience in bioinformatics, curation and outreach. Dr. Haw has a PhD in genetics and was a senior curator at Biomolecular Interaction Network Database (BIND) and managing curator at Science Signaling’s Signal Transduction Knowledge Environment (STKE). He has been responsible for coordinating outreach, Reactome presentations and training at workshops and conferences.
Roger C. Levesque is professor of Microbiology at Université Laval. He obtained a B.Sc. in Biology at the Univ. of Moncton, M.Sc. in microbiology at the Univ. de Montréal and PhD in microbiology at Univ. Laval. His postdoctoral was at Harvard with George Jacoby in bacterial genetics, at Cold Spring Harbor Laboratories in genetics, genomics and mutagenesis with Michael Smith (Nobel 1993) at UBC. He is the founder of the Institut de biologie intégrative et des systèmes (IBIS) at Univ. Laval, and was director 2009-2016. He is the scientific director of the FRQS Respiratory Health Network. He was awarded several FRSQ scholarships and Scholar of Exceptional Merit. He received the Robbie Award from CF Canada, the Univ. of Moncton Senior Science Award, an investigator award from the ASM, and was president of the Canadian Society for Microbiologists. He was co-founding member with 6 scientists of the Canadian Bacterial Diseases Network CBDN. His research is systems biology of virulence, antibiotic resistance and genome evolution.
Ruiyan is a PhD candidate in the Department of Medical Biophysics at the University of Toronto. Graduated with a Bachelor’s degree in Biomedical Engineering from the Hong Kong Polytechnic University, she is interested in applying advanced deep learning techniques to medical image classification and segmentation in radiotherapy. Her current research focuses on automatic segmentation of targets and organs-at-risk in cervical brachytherapy using deep learning.