51³Ô¹ÏÍø

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51³Ô¹ÏÍøSeminar 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 51³Ô¹ÏÍøInitiative 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
(51³Ô¹ÏÍø)
"Predictive socio-ecological models for invasive species and sustainability"
Sept. 17 Sara Mostafavi
(University of British Columbia)ÌýSponsored by the Ludmer Centre
"Combining genomics data to predict function of the non-coding genome"
Sept. 24 Erik Cook
(51³Ô¹ÏÍø)
"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.Ìý 22 Karen Kopciuk
(51³Ô¹ÏÍø)
"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
(51³Ô¹ÏÍø)
"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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Sponsored by

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