People
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.
Russ Greiner worked in both academic and industrial research before settling at the University of Alberta, where he is now a Professor in Computing Science (Adjunct in Psychiatry) and the founding Scientific Director of the Alberta Machine Intelligence Institute. He was elected a Fellow of the AAAI, was awarded a McCalla Professorship and a Killam Annual Professorship; received a 2020 FGSR Great Supervisor Award and in 2021, received the CAIAC Lifetime Achievement Award and became a CIFAR AI Chair. In 2022, he received the (UofA) Precision Health Innovator Award, then in 2023, he received the CS-Can | Info-Can Lifetime Achievement Award. For his mentoring, he received a 2020 FGSR Great Supervisor Award, then in 2023, the Killam Award for Excellence in Mentoring. He has published over 350 refereed papers, most in the areas of machine learning and recently medical informatics, including 6 that have been awarded Best Paper prizes.
Bioinformatician and data analyst in the Bader lab applying pathway and data analysis to varied data types. Developed Enrichment Map App for Cytoscape, an app to visually translate functional enrichment results from popular enrichment tools like GSEA to networks. Further developed the Enrichment Map Pipeline including development of additional Apps to help summarize and analyze resulting Enrichment Maps, including PostAnalysis, WordCloud, and AutoAnnotate App.
He graduated with Ph.D in Informatics from University of Missouri-Columbia in December 2019. His current work focusses on understanding Acute Myeloid Leukemia at the single cell level using Single cell RNA-sequencing analysis. He is interested in developing informatics approaches in Single cell RNA-seq to better understand Cancer.
I am currently the NGS sequencing core Manager/Research Investigator and member of the McCombie lab at Cold Spring Harbor Laboratory. I work in developing and adapting new technologies for Next-Generation sequencing routines and other applications. During my time here I have developed optimizations for the Pacific Biosciences RS instrument for large genome sequencing, evaluated rational pooling schemes for large cohort sequencing on Ilumina platforms, and I have developed applications for sequencing and error corrections on the Oxford Nanopore MinIon. Currently I am using optical mapping strategies to evaluation long structural variants in in cancer lines and Oxford Nanopore for CNV detection in clinical samples.
I am an Associate Professor at the Paul Allen School of Computer Science and Engineering at University of Washington (UW).
Before joining UW, I was an Assistant Professor at the Department of Statistics and the Department of Medical Genetics at University of British Columbia (UBC), and a faculty member at the Vector Institute. I also held a Canada Research Chair (CRC II) in Computational Biology (2015-2020), and a Canada CIFAR Chair in Artificial Intelligence (CIFAR-AI).
Before joining UBC, I did my postdoctoral fellowship with Daphne Koller at Stanford University. I got my PhD in Computer Science from the University of Toronto in 2011, working with Quaid Morris. My PhD thesis was on integrating large-scale genomics and proteomics datasets to predict gene function. Check out GeneMANIA to find out more about this project!
Sébastien Lemieux, an associate professor at the biochemistry and molecular medicine department of U. de Montréal and an associate academic member at Mila, has a robust background in both biology and computer science. As a principal investigator at IRIC, his work focuses on the development of deep learning models and bayesian frameworks for drug discovery, cancer prognostic, -omics data integration with applications in acute myeloid leukemia and targeted immunotherapy. His interdisciplinary approach showcases his dedication to advancing the field of bioinformatics through a variety of data sources, technical methodologies, and applications.
Sejin is a PhD Candidate at the University of Toronto working on applying deep learning models for personalized prognostication of head and neck cancer patients. As the lead developer of Med-ImageTools, an open-source Python package for processing medical images, he is determined to make sure his research is easily reproducible and accessible for the wider scientific community to increase clinical adoption of machine learning methods and ultimately improve patient outcomes.
Postdoctoral Fellow, UofT/UHN
Senior Data Scientist, Pathomics.io
Director, Panoramics – A Vision
Dr. Shamini Ayyadhury is a computational postdoctoral fellow at the University of Toronto and University Health Network, applying and developing various computational pipelines, which includes computer vision and AI methodologies, for spatial and single cell transcriptomic and image datasets. She is the Director of Panoramics – A Vision, a pan-Canadian spatial and single cell working cluster bringing spatial and single cell scientists together for scientific debate, education and discussion.