CEO, Deep Genomics
Brendan led the launch of Deep Genomics in 2015, to address the need for a new data- and AI-driven approach to the detection and treatment of genetic disease. He is responsible for the development and performance of our AI Workbench and for empowering our team to discover, develop and market genetic medicines, both rapidly and with a high rate of success. He was a pioneer in developing AI systems that could accurately predict normal and pathological cell biology, and over the past 15 years led projects that were described in Nature, Nature Biotechnology, Science and Cell. His co-inventions include one of the first deep learning algorithms (1995), factor graphs (1997), a coding method that helped to form the 802.11 Wi-Fi standard (1999), the affinity propagation clustering algorithm (2007), and deep learning models of splicing (2015, 2018), protein-DNA/RNA interaction (2015) and polyadenylation (2017). Brendan holds numerous distinctions and is a Professor of Engineering and Medicine at the University of Toronto, a Co-Founder of the Vector Institute for Artificial Intelligence, a Senior Fellow of the Canadian Institute for Advanced Research, and a Fellow of the Royal Society of Canada, the IEEE and the AAAS.