Programme scientifique

Toutes les présentations auront lieu à la salle S1-151 - Pavillon Jean-Coutu | Campus de l’Université de Montréal.

Mardi, 23 octobre
08h00Inscription et déjeuner léger
08h45Mot d'ouverture

Session 1

09h00 Keynote: Decoding the human genome with machine learning
Olga Troyanskaya, Princeton University, Princeton, NJ, USA
09h45 Keynote: Deep learning for biomedical applications
Yoshua Bengio, Université de Montréal, Montréal, QC, Canada
10h30 Pause café
10h50 Panel discussion
12h00 Présentation orale en rafale
Predicting canonical and non-canonical box C/D snoRNA interactions
Gabrielle Deschamps-Francoeur, Université de Sherbrooke, Sherbrooke, Canada
12h05 Présentation orale en rafale
Prediction of complete Hi-C interaction matrices from sequence-based determinants
Christopher Cameron, School of Computer Science, McGill University, Montreal, QC, Canada
12h10 Présentation orale en rafale
Unravelling tumor heterogeneity in TNBC along the course of treatment through single-cell RNA-seq
Yang Yang, Department of Human Genetics, McGill University, Montreal, QC, Canada
12h15Dîner
13h15Session de présentations par affiches

Session 2

14h15 Applications of Deep Learning in Medicine: Imaging and Genomics
Joseph Paul Cohen, Université de Montréal, Montreal, QC, Canada
15h00 Machine learning for medical diagnostic and prognostic: reality and fiction
Jacques Corbeil , CRCHU de Québec - Université Laval, Québec, QC, Canada
15h45 Pause café
16h10 A cancer precision medicine program driven by multi-omics, analytics and modeling
Olivier Elemento, Cornell University, Ithaca, NY, USA
16h55 Development of gene expression signatures, insights from applications
Sébastien Lemieux, IRIC - Université de Montréal, Montréal, QC, Canada
17h40Cocktail

Mercredi 24 octobre
08:15Déjeuner léger

Session 3

09h00 Accelerating bio discovery with machine learning
Lucy Colwell, Google LLC, Mountain View, CA, USA
09h45 MD + Machine: Machine Learning in Computer-Assisted Diagnosis and Interventions
Parvin Mousavi, Queen's University, Kingston, ON, Canada
10h30 Pause café
10h50 Translational Radiomics for Precision Medicine for Cancer: Opportunities and Challenges
Farzad Khalvati, LTRI - University of Toronto, Toronto, TO, Canada
11h30 Présentation orale sélectionnée
The gene signature fallacy: the necessity for a highly polygenic model
Assya Trofimov, IRIC - Université de Montréal, Montreal, QC, Canada
11h45 Présentation orale sélectionnée
Better decoding of TF signals in accessible chromatin with learned embeddings and neural networks
Lee Zamparo, Memorial Sloan Kettering Cancer Center, New York, NY, USA
12h00 Présentation orale en rafale
miRBooking 2.0: An Enzymatic Model for the Microtargetome
Guillaume Poirier-Morency, Département d'informatique et de recherche opérationelle, Université de Montréal, Montreal, QC, Canada
12h05 Présentation orale en rafale
Fooling the classifier: adversarial examples and ligand antagonism
Thomas Rademaker, Department of Physics, McGill University, Montreal, QC, Canada
12h10 Présentation orale en rafale
Conditional Approximate Bayesian Computation, a new approach for across-site dependency in high-dimensional mutation-selection models
Simon Laurin-Lemay, Department of Biochemistry and Molecular Medicine, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
12h15Dîner 13h15Session de présentations par affiches

Session 4

14h15 Predictive models of cancer progression and prognosis from RNA processing patterns
Eduardo Eyras, Pompeu Fabra University, Barcelone, Espagne
15h00 Présentation orale sélectionnée
Phylogenetic Manifold Regularization: A Semi-Supervised Approach for Transcription Factor Binding Sites Prediction
Faizy Ahsan, School of Computer Science, McGill University, Montreal, QC, Canada
15h15 Présentation orale sélectionnée
Towards Gene Expression Convolutions using Gene Interaction Graphs
Martin Weiss, Montreal Institute for Learning Algorithms, Université de Montréal, Montreal, QC, Canada
15h30 Présentation orale sélectionnée
Study of Population Admixture with Diet Networks
Léo Choinière, Montreal Heart Institute, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
15h50 Pause café
16h10 Clonal evolution in cell lines and patient derived xenografts investigated with scalable whole genome single cell sequencing
Andrew McPherson, Chercheur postdoctoral senior, Sohrab Shah Lab
Memorial Sloan Kettering Cancer Center, New York, NY, USA
16h55 Machine learning: from (epi)genetics to gene editing to protein optimization
Jennifer Listgarten, UC Berkeley, Berkeley, CA, USA
17h40Mots de clôture