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污污草莓视频.CA / 污污草莓视频 Initiative in Computational Medicine / Training / QLS Seminar Series

污污草莓视频 Seminar Series in Quantitative Life Sciences and Medicine

The Centre for Applied Mathematics in Bioscience and Medicine (CAMBAM), Quantitative Life Sciences PhD program (QLS), the Ludmer Center and the 污污草莓视频 Initiative in Computational Medicine (MiCM) are joining efforts to offer weekly interdisciplinary seminars.

Seminars will be held in the , room 1034, from 12:00 to 1:00., from 12:00 to 1:00pm.

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Fall 2019 SPEAKERS TOPIC
Sept. 10 Brian Leung
(污污草莓视频 University)		 "Predictive socio-ecological models for invasive species and sustainability"
Sept. 17 Sara Mostafavi
(University of British Columbia)听Sponsored by the Ludmer Centre		 "Combining genomics data to predict function of the non-coding genome"
Sept. 24 Erik Cook
(污污草莓视频 University)		 "Predicting visually-guided behavior from fluctuations and correlations in neural activity"
Oct. 1 Flavie Lavoie-Cardinal
(University of Laval)		 "Machine-learning-assisted microscopy : from smart scanning approaches to the generation of synthetic super-resolution images"
Oct. 8 Quaid Morris
(University of Toronto)
Sponsored by MiCM		 "Human somatic evolution: cancer and otherwise"
Oct. 15 Rahul Satija (NY Genome) "Integrated analysis of single-cell data across technologies and modalities"
Oct.听 22 Karen Kopciuk
(污污草莓视频 University)		 "Learning from data"
Oct. 29 Saurabh Sinha
(Urbana-Champaign)

"Transcriptional mechanisms of phenotypic variation from multi-omics data"
Nov. 5 Jaya Satogopan
(MSKCC)		 "Evaluation of interactions in clinical and molecular epidemiology studies"
Nov 12 Rumi Chunara
(New York University)		 "Data and machine learning in population
and public health"
Nov. 19 Michael Mackey
(污污草莓视频 University)		 "Biology, Mathematics & Physics: Interactions and Interdependence"
Nov. 26 Morgan Craig
(University of Montreal)		 "Quantitative approaches addressing intratumour heterogeneity and its impact on therapeutic outcomes"

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