Machine Learning

New Seminar Series at the Fields Institute

Oct 13th, 16

We have launched a new bi-weekly seminar series, that will cover advanced topics in machine learning. The seminar will run every other Thursday from noon-2pm at the Fields Institute. It will feature a mix of international invited speakers and local speakers from both academia and industry.

Seminar website

New Faculty Members

Sep 1st, 16

We welcome three new faculty members to the ML group: David Duvenaud, Sanja Fidler, and Roger Grosse.

NVIDIA Pioneers of AI Award

NVIDIA nominated the machine learning group at UofT (and other 9 universities in the world) as “Pioneers of AI”. The award comes with their new super computer for deep learning, the DGX-1.

U of T ML spinout Deep Genomics graduates first summer interns

Congratulations to Michael Wainberg, Victoria Dean and Omar Wagih on their summer projects, which used machine learning to understand the genetics of disease (3rd, 4th and 5th from left).

U of T Machine Learning group spins out company Deep Genomics

Aug 5th, 15

Checkout for more details.

7 papers accepted by ICML 2015

May 8th, 15

Reconstructing the evolutionary history of tumors

Feb 19th, 15

Phylo* is a family of statistical methods that use nonparametric Bayesian tree priors to infer clonal evolution of tumors from whole genome sequencing data.


Amit G. Deshwar, Shankar Vembu, Christina K. Yung, Gun Ho Jang, Lincoln Stein, Quaid Morris. PhyloWGS: Reconstructing subclonal composition and evolution from whole genome sequencing of tumors. Genome Biology 16:35, 2015.


Amit G. Deshwar, Shankar Vembu, Quaid Morris. Comparing Nonparametric Bayesian Tree priors for clonal reconstruction of tumors. InProceedings of the Pacific Symposium on Biocomputing, 2015.


Wei Jiao, Shankar Vembu, Amit G. Deshwar, Lincoln Stein, Quaid Morris. Inferring clonal Evolution of tumors from single nucleotide Somatic Mutations. BMC Bioinformatics 15:35, 2014.

Deep Learning Discovers Genetic Causes of Diseases

Jan 6th, 15

Wired Magazine describes how Toronto researchers used deep learning to make new discoveries about the genetics of disease.

Also check out the Science article describing this work.

Image by Olena Shmahalo/Quanta Magazine.

Chris Maddison won the Outstanding Paper Award at NIPS 2014

Dec 15th, 14

6 papers accepted by NIPS 2014

Dec 1st, 14