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Brendan J. Frey Computer engineer

Brendan Frey’s research focuses on developing deep learning algorithms for genomic analysis applications. The algorithms make use of large genetic datasets to understand and predict the interactions of DNA mutations and their effects on human health. The work spans interests and advances from both the Genetic Networks and Learning in Machines & Brains programs.

Awards

Co-recipient of the NSERC John C Polanyi Award, 2012.

Elected Fellow of the American Association for the Advancement of Science, 2009.

Named as one of Canada's Top 40 Under 40, 2007.

Winner of the Premier's Research Excellence Award, 2000.

Relevant Publications

F.R. Kschischang et al, "Factor graphs and the sum-product algorithm," IEEE T. Infor. Theory, vol. 47, no, 2 pp. 498-519, Feb. 2001.

Books

B. J. Frey, Graphical Models for Machine Learning and Digital Communication. Cambridge: MIT Press, 1998.

Connect

Appointments

Senior Fellow Genetic Networks

Senior Fellow Learning in Machines & Brains

Institution

University of TorontoDepartment of Electrical and Computer Engineering, Department of Computer Science, and Donnelly Centre for Cellular + Biomolecular Research

Education

PhD (Electrical and Computer Engineering) University of Toronto

MSc (Electrical and Computer Engineering) University of Manitoba

BSc (Electrical Engineering) University of Calgary

Country

Canada

Ideas Related to Brendan J. Frey

Video | Genetic Networks

Closing the gap between genotype and phenotype

In a couple of years sequencing your genome will cost less than a trip to the grocery store, explains Brendan...

Video | Genetic Networks

Medical Treatments Made Just for You

Over 60% of people will have a genetic disorder in their lifetime. Understanding the relationship between your genetics and disease...

Video | Genetic Networks | Learning in Machines & Brains

Going Deep Into the Human Genome

CIFAR Fellow Brendan Frey’s start-up Deep Genomics is creating an AI system that allows us to look at our DNA...

News | Genetic Networks

Algorithm holds potential to change cell biology

A new deep neural network algorithm is promising to change the way cell biologists work.   The algorithm automatically analyzes...

Case Study | Genetic Networks

Discovering how genes interact to produce autism

By working in interdisciplinary teams, researchers are able to shape new frameworks of understanding. This case study shows how the...

News | Genetic Networks

Deep Genomics creates deep learning technology to transform genomic medicine

The start-up company Deep Genomics is on a mission to predict the consequences of genomic changes by developing new deep learning technologies.