Instructors
Dr Goldenberg is a Senior Scientist in Genetics and Genome Biology program at SickKids Research Institute, recently appointed as the first Varma Family Chair in Biomedical Informatics and Artificial Intelligence. She is also an Associate Professor in the Department of Computer Science at the University of Toronto, faculty member and an Associate Research Director, Health at Vector Institute and a fellow at the Canadian Institute for Advanced Research (CIFAR), Child and Brain Development group. Dr Goldenberg trained in machine learning at Carnegie Mellon University, with a post-doctoral focus in computational biology and medicine. The current focus of her lab is on developing machine learning methods that capture heterogeneity and identify disease mechanisms in complex human diseases as well as developing risk prediction and early warning clinical systems. Dr Goldenberg is a recipient of the Early Researcher Award from the Ministry of Research and Innovation and a Canada Research Chair in Computational Medicine. She is strongly committed to creating responsible AI to benefit patients across a variety of conditions.
I am a principal investigator of computational biology at the Ontario Institute of Cancer Research (OICR) and associate professor at University of Toronto (UofT) at the departments of Medical Biophysics and Molecular Genetics. I completed a PhD in computer science at the University of Tartu in Estonia in 2010 and postdoctoral training at the Donnelly Centre (UofT) during 2011-2015. I started my lab at OICR and the faculty appointment in 2015. I am interested in computational biology, machine learning, and cancer research
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.
Boris Steipe was born in Munich, Germany where he graduated from the medical school of the Ludwig-Maximilians University in 1985. He joined Andreas Plückthun’s lab at the Gene Center of the University for his PhD thesis on the recombinant expression and structure determination of an immunoglobulin fragment. Subsequently, his interests turned to protein engineering, and he joined Robert Huber’s Department at the Max-Planck Institute for Biochemistry in Martinsried, Germany in 1990. It was there that his “Canonical Sequence Approximation” – the hypothesis that sequence propensities can be used to predict stability changes in a very general way was first formulated.
Steipe was appointed Research Fellow at the Gene Center of the University, in 1990 and where his group worked on the rational stabilisation of immunoglobulin domains, on sequence determinants of protein folding and on the interplay of the protein matrix with the fluorophore in Green Fluorescent Protein; he was awarded his Habilitation in Biochemistry at the Faculty for Chemistry and Pharmacy of the University in 2000, when he was appointed as lecturer.
In 2001 Steipe moved to Toronto where he holds an appointment as associate professor in the Department for Biochemistry and the Department for Molecular Genetics, University of Toronto. His directed the University’s Specialist Program in Bioinformatics and Computational Biology from 2004 to 2019.
Prior to joining OICR in 2006, Dr. Stein played an integral role in many large-scale data initiatives at Cold Spring Harbor Laboratory and at the Massachusetts Institute of Technology (MIT) Genome Center. He led the development of the first physical clone map of the human genome, and ran the data coordinating centre and the data portal for the SNP Consortium and the HapMap Consortium. Dr. Stein has also led the creation and development of Wormbase, a community model organism database for C. elegans, and Reactome, which is now the largest open community database of biological reactions and pathways.
At OICR, Dr. Stein has led several international cancer data sharing and research initiatives, including the creation and development of the data coordination centre for the International Cancer Genome Consortium and other related projects. He continues to collaborate with national and international partners to create and promote data sharing standards, protocols and implementations.