Computational Biology meets Data Science
Videos from CMO Workshop
Robert Gentleman, Harvard Medical School
Monday May 8, 2023 09:15 - 10:04
Spatial transcriptomics
Celia Greenwood, Lady Davis Institute for Medical Research
Monday May 8, 2023 10:00 - 10:20
"Modelling covariate and SNP influences on DNA methylation data"
Maria Chikina, University of Pittsburgh
Monday May 8, 2023 11:00 - 11:29
"Mixture deconvolution: a new perspective on an old problem"
Sandrine Dudoit, University of California, Berkeley
Monday May 8, 2023 11:30 - 11:54
"Learning from Data in Single-Cell Transcriptomics"
Gerald Quon, UC Davis
Monday May 8, 2023 12:00 - 12:26
"DNA sequence models for predicting single cell expression"
Fabien Plisson, CINVESTAV-IPN
Monday May 8, 2023 12:30 - 13:05
“Auditing for structural bias in machine-learning peptide design”
Ingo Ruczinski, Johns Hopkins Bloomberg School of Public Health
Monday May 8, 2023 15:00 - 15:30
"Detecting And Quantifying Antibody Reactivity In Phip-Seq Data"
Richard Bonneau, New York University & Genentech
Monday May 8, 2023 15:30 - 16:03
"Applying lessons from protein structure and function prediction to multi-modal drug discovery"
Katya Rodriguez-Vazquez, IIMAS, UNAM
Tuesday May 9, 2023 09:00 - 09:25
"Bio-inspired Algorithms in Biology"
Anthony-Alexander Christidis, UBC
Tuesday May 9, 2023 09:30 - 10:03
"Robust Multi-Model Subset Selection"
Kat Clark, McMaster University
Tuesday May 9, 2023 10:00 - 10:32
"Trimming Outliers in Matrix-Variate Normal Mixtures using the OCLUST Algorithm"
Jason Xu, Duke University
Tuesday May 9, 2023 11:00 - 11:30
"Learning hierarchical covariance structure from multiple studies via subspace factor analysis"
Clara Bermudez, National University of Colombia
Tuesday May 9, 2023 11:30 - 12:00
"What would we discover about viruses secrets if the computation attacks them?"
Natasa Tagasovska, Roche
Tuesday May 9, 2023 12:00 - 12:24
"Tailored Multiobjective Optimization and Sampling for Molecular Design"
Iuliana Ionita-Laza, Columbia University
Tuesday May 9, 2023 15:30 - 16:12
"Knockoff-based statistics in genetics: opportunities and challenges”
Pei Wang, Icahn School of Medicine at Mount Sinai
Tuesday May 9, 2023 16:30 - 17:09
iProMix: A mixture model for studying the function of ACE2 based on bulk proteogenomic data
Amilcar Meneses, CINVESTAV
Tuesday May 9, 2023 17:00 - 17:21
"Towards a replacement for glyphosate as a pesticide using data minig and artificial intelligence"
Javier De Las Rivas, University of Salamanca
Wednesday May 10, 2023 09:00 - 09:30
"Multivariate logistic regression, survival analysis and other algorithms applied to the study of genomic and clinical data from cancer patients"
Hector Corrada Bravo, Genentech, Inc.
Wednesday May 10, 2023 09:30 - 10:16
"The Single Cell Hub at Genentech: how to manage and query data for 130M cells"
Ali Yazbeck, University of Cologne
Wednesday May 10, 2023 11:00 - 11:26
"Integrating germline and somatic genetic profiles through machine learning to understand cancer etiology"
Katia Aviña Padilla, CINVESTAV
Wednesday May 10, 2023 11:30 - 12:05
“A multiomics approach to identify potential driver genes in cancer diseases”
Laxmi Parida, IBM
Thursday May 11, 2023 11:00 - 11:45
"Topology and Logic in Life Sciences"
Jessica Dennis, University of British Columbia
Thursday May 11, 2023 11:30 - 12:06
"Genetic epidemiology in the era of big data, biobanks, and -omic technologies"
Mashaal Sohail, UNAM
Thursday May 11, 2023 12:00 - 12:30
"Nationwide Genomic Biobank in Mexico Unravels Demographic History and Complex Trait Architecture from 6,057 Individuals"
César Díaz, CCM
Thursday May 11, 2023 13:00 - 13:17
"Evomining as a tool to clusterize metagenomes"
Nelly Selem, UNAM
Thursday May 11, 2023 15:00 - 15:23
MicroAgrobiome - a comparative metagenomics platform applied to hunt genera in the crop microbiome
Deisy Gysi, Federal University of Paraná
Thursday May 11, 2023 15:30 - 16:03
"Network Medicine, Disease Module (in)completeness and other tales"
