- Visiting Researcher, Microsoft Research Centre, Cambridge, U.K., 2008-2009.
- Visiting Professor, University of Cambridge, Cambridge, U.K.
- University of Illinois at Urbana-Champaign, IL, U.S., Research Fellow, 1997-1999.
- University of Cambridge, Isaac Newton Institute, Visiting Researcher, 1997.
- University of Toronto, PhD in Electrical and Computer Engineering, 1997.
- University of Manitoba, MSc in Electrical and Computer Engineering, 1993.
- University of Calgary, BSc in Electrical Engineering, 1990.
- Department of Electrical and Computer Engineering (ECE), University of Toronto.
- Department of Computer Science, University of Toronto.
MY RESEARCH OVERVIEW
How do you find a useful needle in an immense haystack of data? You invent a new generation of algorithms. Working with the team here at the Donnelly Centre, we did just that. Our algorithms summarize and organize data more efficiently—and help find that needle faster. My group develops new computational tools and theoretical frameworks for analyzing large-scale data sets, with applications in molecular biology, computer vision, and sensory processing. Our research focus is on introducing algorithms that reveal hidden variables and efficiently take into account the structural knowledge that is critical in most real-world applications—from automatically recognizing someone’s handwriting, to discovering aberrant DNA patterns in the human genome that account for disease.
State-of-the-art sensor technologies are producing vast amounts of signals that can potentially be used to reveal important information in the areas of medicine, information technology, education and industry. Finding patterns, however, that contain useful information is a very difficult problem for computers to solve. We invent new methods and frameworks that enable computer to discover patterns that enable breakthroughs in these areas.
The faculty members, postdoctoral fellows and students at the Donnelly Centre constitute one of the brightest, most energetic and most collaborative groups of researchers in the world. Thanks to this amazing synergy, novel collaborations can occur. For example, my group, with Prof. Hughes and Prof. Blencowe, developed a computational procedure that is able to detect new genetic units and analyze how these units cooperate to perform functions in cells. As well, many researchers at the Donnelly Centre are world-leaders in generating new collections of sensory signals that can be used to reveal new biology and make medical discoveries; however, progress requires a deep analysis of the patterns in the data. This is where my research can directly address the problem.
- RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease. Xiong HY, Alipanahi B, Lee LJ, Bretschneider H, Merico D, Yuen RK, Hua Y, Gueroussov S, Najafabadi HS, Hughes TR, Morris Q, Barash Y, Krainer AR, Jojic N, Scherer SW, Blencowe BJ, Frey BJ. Science. 2015 Jan 9;347(6218):1254806.
Deep learning of the tissue-regulated splicing code. Leung MK, Xiong HY, Lee LJ, Frey BJ. Bioinformatics. 2014 Jun 15;30(12):i121-9.
AVISPA: a web tool for the prediction and analysis of alternative splicing. Barash Y, Vaquero-Garcia J, González-Vallinas J, Xiong HY, Gao W, Lee LJ, Frey BJ. Genome Biol. 2013;14(10):R114.
View Pubmed search of Dr. Frey's full list of publications.