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.
We welcome three new faculty members to the ML group: David Duvenaud, Sanja Fidler, and Roger Grosse.
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.
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).
Checkout http://www.deepgenomics.com/ for more details.
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.