People
Dr. Sushant Kumar is Canada Research Chair (Tier 2) in Genomic medicine. His group is interested in developing computational methods and tools to obtain molecular- and genetic-level insight into cancer biology. His lab utilizes genomics, machine learning, and biophysics-based approaches to address these questions.
Dr. Tallulah Andrews is an Assistant Professor in the Department of Biochemistry at the University of Western Ontario. Her group focuses on the integration of biological imaging and multiple -omics technologies to understand the structure of diseased tissues. She is a long-term member of the Human Cell Atlas developing computational tools for single-cell RNAseq data while a post-doc at the Wellcome Sanger Institute in Cambridge, UK and analyzing the Healthy Liver atlas in the MacParland group at UHN Research. She holds a PhD from the University of Oxford where she used systems biology approaches to identify biological pathways underlying rare genetic diseases.
Tamara Munzner is a Professor at the University of British Columbia Department of Computer Science, and holds a 2000 PhD from Stanford. She has been active in visualization research since 1991 and has published over ninety papers and chapters. She has been papers chair for IEEE InfoVis, EuroVis, and VIS, on the steering committees for InfoVis and BioVis, and the chair of the VIS Executive Committee. Her book Visualization Analysis and Design is widely used to teach visualization world-wide, and she is the co-editor of the A K Peters Visualization book series at CRC/Routledge. She received the IEEE VGTC Visualization Technical Achievement Award, multiple Test of Time Awards from InfoVis, and is an IEEE Fellow. She has worked on problem-driven visualization in many domains ranging from genomics to e-commerce to journalism.
Dr. Tao Huan is an Assistant Professor in the Department of Chemistry at the University of British Columbia (UBC) in Vancouver, Canada. He is also the affiliated faculty in the UBC Graduate Program in Bioinformatics, UBC Genome Science and Technology program, UBC Djavad Mowafaghian Centre for Brian Health. The research focus in the Huan lab is to synergistically develop analytical chemistry and bioinformatics for mass spectrometry-based metabolomics and exposomics. As of Jan 2024, Dr. Huan has published over 85 peer-reviewed papers and has been cited more than 4100 times with an h-index of 31.
The Perkins Lab develops bioinformatics and machine learning methods to answer cutting-edge questions in stem cells, rare genetic diseases, and cancer. Methodology research in the lab focuses on algorithms for omics data analysis and integration, network reconstruction and analysis, biomarker discovery, and stochastic and/or dynamical systems. Dr. Perkins holds a PhD in Computer Science from the University of Massachusetts Amherst, which he followed by Postdoctoral training and three years as an Assistant Professor at McGill University. Since 2009 his lab as been in Ottawa, where he is a Senior Scientist in the Regenerative Medicine Program of the Ottawa Hospital Research Institute, and an Associate Professor in the Department of Biochemistry, Microbiology and Immunology of the University of Ottawa. He also acts as Scientific Director of the Ottawa Bioinformatics Core Facility, and is past Director of the Ottawa-Carleton Joint Bioinformatics Program.
Dr. Touati Benoukraf earned his Ph.D. in Bioinformatics, Structural Biochemistry, and Genomics from the University of Aix-Marseille, INSERM-CNRS, France. Following a 2-year postdoctoral training, he achieved scientific independence by receiving a “Special Fellowship” (young investigator award) at the Cancer Science Institute of Singapore, National University of Singapore, followed by a Canada Research Chair (Tier 2) in Bioinformatics for Personalized Medicine at Memorial University of Newfoundland. Dr. Benoukraf’s main scientific contributions encompass both technological and biological aspects, ranging from the discovery of novel epigenetic mechanisms that regulate gene expression to the development of bioinformatics tools and a comprehensive database of transcription factor binding sites coupled with DNA methylation profiles (MethMotif.org).
To date, Dr. Benoukraf has authored over 49 peer-reviewed manuscripts and serves as an editorial member for the journal BMC Medical Genomics. His current research focus is on pan-omics analytics, with a particular interest in integrating genomics, epigenomics, and microbiomics driver alterations to decipher novel pathological mechanisms.
Dr. Trevor Pugh is a Senior Investigator and the Director of Genomics at OICR. He leads the OICR Genomics program, which brings together the Princess Margaret Genomics Centre, OICR’s Genome Research Platform, Translational Genomics Laboratory and Genome Sequence Informatics teams under an integrated initiative to support basic, translational and clinical research.
Ulrike Stege is an Associate Professor of Computer Science and the Director of the Master of Applied Data Science (MADS) program in the Faculty of Engineering and Computer Science at the University of Victoria. She was Computer Science Department Chair at the University of Victoria from 2014-2018. She is a member of Quantum BC and an affiliate of British Columbia’s Quantum Algorithms Institute (QAI). She is a Principal Investigator of an NSERC CREATE on Quantum Computing. With her graduate students she works in the area of algorithm development for computationally hard problems, including hybrid quantum-classical algorithms. Ulrike’s interdisciplinary research areas include bioinformatics and cognitive psychology. She received a doctorate from ETH Zürich, Switzerland. Recent projects in bioinformatics focus on the identification of genomic regulatory sequences, as well as RNA and protein structure prediction.
Dr. Vasu Gautam is the senior scientist and Bioinformatics Manager at Wishart Node, University of Alberta. Vasu is intrigued by the diverse world of “omics” and their combined role in biological research, be it proteomics, genomics, or metabolomics. Vasu has worked in both academia and industry in the field of multi-omics. His interest has been to explore the different aspects of these “omics” groups and then combine this knowledge pool to address some of the most difficult questions in the field. Bioinformatics/computational biology has been a great tool in enhancing this capability and continuing his research. His current focus is the study of machine learning algorithms and their applications in different areas of metabolomics.
Vicki is a PhD Candidate at the University of Toronto studying invasive species in the subarctic, from the tundra to the boreal forest, and the effect of climate change and anthropogenic disturbances on invasive species at high latitude. In addition to doing summer fieldwork and analyzing those data, she also teaches “Quantitative Methods in R for Biology”, a third-year undergrad statistics course, and has taught and assisted dozens of workshops to students with a wide range of coding and statistics knowledge.
Vladimir Makarenkov is a Full Professor and Director of DESS in Bioinformatics at Université du Québec à Montréal (UQAM). He holds a master’s degree in applied mathematics from Lomonosov Moscow State University and a Ph.D. in computer science and mathematics from the École des hautes études en sciences sociales (EHESS). Before joining the computer science department at UQAM, he completed a three-year postdoctoral fellowship at the Digital Ecology Lab at the University of Montreal. Vladimir Makarenkov has authored 80 journal articles and 67 conference papers. He has also been awarded the prestigious Simon Régnier Prize and Chikio Hayashi Prize by the International Society for Mathematical Classification.
His research focuses on artificial intelligence, bioinformatics, and data mining. This encompasses the design and development of novel unsupervised and supervised machine learning methods, as well as the utilization of machine learning techniques, including clustering and deep learning, for the analysis of biological and biomedical data.