Program

Saturday, October 5, 2019

Time Event  
20:00 - 21:00 Dinner for PopSim participants  

Sunday, October 6, 2019

Time Event  
09:00 - 10:30 PopSim - session 1  
10:30 - 11:00 Coffee break  
11:00 - 12:30 PopSim - session 2  
12:30 - 13:45 Lunch  
14:00 - 16:00 PopSim - session 3  
16:00 - 16:30 Coffee break  
16:30 - 18:45 PopSim - session 4  
19:00 - 20:00 ProbGen wellcome reception  
20:00 - 21:00 Dinner  

Monday, October 7, 2019

Time Event  
08:50 - 09:00 Welcome  
09:00 - 10:40 ProbGen  
09:00 - 09:45 › Leveraging linkage disequilibrium in human population-genetic analyses - Sohini Ramachandran, Brown University  
09:50 - 10:10 › Leveraging chromosomal linkage to infer natural selection from full-genome sequencing data - Eric Friedlander, Ecology & Evolution, University of Chicago  
10:15 - 10:35 › Modeling the Spatial Distributions of Rare Deleterious Alleles - Daniel Rice, Department of Human Genetics, University of Chicago  
10:40 - 11:10 Coffee break  
11:15 - 12:30 ProbGen  
11:15 - 11:35 › Transient Selection on Introgressed Neandertal Alleles in Early Modern Humans - Benjamin Peter, Max Planck Institute for Evolutionary Anthropology  
11:40 - 12:00 › Bayesian Factor Analysis for the Inference of Population Genetic Structure from Temporal Samples - Flora Jay, Université Paris-Sud, Université Paris-Saclay - Olivier Francois, Univ. Grenoble Alpes  
12:05 - 12:25 › A deep-learning approach for detecting selective sweeps based on the ancestral recombination graph - Ziyi Mo, Simons Center for Quantitative Biology [Cold Spring Harbor]  
12:30 - 13:45 Lunch  
14:00 - 16:05 ProbGen  
14:00 - 14:20 › Genealogical Inference from Thousands of Ancient and Modern Samples - Anthony Wohns, Big Data Institute, University of Oxford  
14:25 - 14:45 › Inference under the exact coalescent with recombination - Ali Mahmoudi, School of Mathematics and Statistics, and Melbourne Integrative Genomics, The university of Melbourne  
14:50 - 15:10 › Improving inference of homologous recombination using state-of-the-art computational methods - Richard Everitt, University of Warwick  
15:15 - 15:35 › Inferring the landscape of recombination using recurrent neural networks - Andrew Kern, Institute of Ecology and Evolution, University of Oregon  
15:40 - 16:00 › Reconstructing the genotypes of parents from siblings and close relatives - Ying Qiao, Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY  
16:05 - 16:35 Coffee break  
16:35 - 18:00 ProbGen  
16:35 - 16:55 › How genetic risk for common disease changes with age - Xilin Jiang, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK, The Wellcome Trust Centre for Human Genetics [Oxford]  
17:00 - 17:20 › kernelPSI: a powerful post-selection inference framework for nonlinear association testing in genome-wide association studies - Lotfi Slim, Translational Sciences, CBIO - Centre for Computational Biology  
17:25 - 17:45 › Ongoing purifying and overdominant selection in the human genome - Xinzhu Wei, UC Berkeley  
19:00 - 20:30 Dinner  
20:30 - 22:00 Poster session (even numbers)  

Tuesday, October 8, 2019

Time Event  
09:00 - 10:40 ProbGen  
09:00 - 09:45 › Inferring human biology from genetic association - Gil McVean, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Genomics plc  
09:50 - 10:10 › Differential complex trait architecture across humans: epistasis identified in non-European populations at multiple genomic scales - Michael Turchin, Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, Center for Computational Molecular Biology, Brown University, Providence, RI  
10:15 - 10:35 › The effects of pleiotropy on polygenic adaptation - Laura Hayward, Columbia University  
10:40 - 11:10 Coffee break  
11:15 - 12:30 ProbGen  
11:15 - 11:35 › Quantifying the Pre-Tumour and Tumour Evolutionary Processes From High Coverage Sequencing Data - Armande Ang Houle, Department of Molecular Genetics [Toronto], Ontario Institute for Cancer Research [Canada]  
11:40 - 12:00 › Bayesian deconvolution of somatic clones and pooled individuals with expressed variants in single cells - Yuanhua Huang, European Bioinformatics Institute [Hinxton]  
12:05 - 12:25 › Probabilistic approaches to inference of mutation rate and selection in cancer - Donate Weghorn, Universitat Pompeu Fabra [Barcelona], Centre for Genomic Regulation, Barcelona  
12:30 - 13:45 Lunch  
14:00 - 16:45 Free time - .  
16:45 - 17:00 Coffee break  
17:00 - 19:30 ProbGen  
17:00 - 17:20 › Comprehensive estimation of the tissue of origin of circulating cell-free DNA - Christa Caggiano, Bioinformatics Program, University of California, Los Angeles  
17:25 - 17:45 › Identifying novel regulatory elements using RELICS, a statistical framework for the analysis of CRISPR regulatory screens - Patrick Fiaux, Salk Institute for Biological Studies, University of California [San Diego]  
17:50 - 18:10 › Identification of complex methylation changes across developmental lineages using single-cell multi-omics - Max Frank, European Molecular Biology Laboratory [Heidelberg], German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg]  
18:15 - 18:35 › Characterizing chromatin landscape from aggregate and single-cell genomic assays using flexible duration modeling. - Mariano Gabitto, Simons Foundation  
18:40 - 19:00 › Bayesian nonparametric integration of multiple single-cell RNA-seq experiments - Archit Verma, Computer Science Department [Princeton]  
19:05 - 19:25 › Phylogenetic modeling of epigenetic mark turnover uncovers genomic features that drive cis-regulatory evolution - Noah Dukler, Simons Center for Quantitative Biology [Cold Spring Harbor]  
19:30 - 21:00 Dinner  
21:00 - 22:30 Poster session (odd numbers)  

Wednesday, October 9, 2019

Time Event  
08:45 - 10:00 ProbGen  
08:45 - 09:05 › Exchangeable Variational Autoencoders for Genomic Data - Jeffrey Chan, UC Berkeley  
09:10 - 09:30 › Can mutation-selection-drift balance on modifiers of mutation explain variation in mutation rates among human populations? - William Milligan, Columbia University  
09:35 - 09:55 › The genomic view of diversification - Amaury Lambert, Laboratoire de Probabilités, Statistique et Modélisation, Centre interdisciplinaire de recherche en biologie  
10:00 - 10:30 Coffee break  
10:30 - 11:45 ProbGen  
10:30 - 10:50 › Inference of ancient whole genome duplications and the evolution of the gene duplication and loss rate - Arthur Zwaenepoel, VIB-UGent Center for Plant Systems Biology, Ghent University  
10:55 - 11:15 › Bayesian polymorphism-aware phylogenetic models accounting for allelic selection - Rui Borges, Institute of Population Genetics, Vetmeduni Vienna, Austria  
11:20 - 11:40 › The Cumulative Indel Model: fast and accurate statistical evolutionary alignment - Nicola De Maio, European Bioinformatics Institute [Hinxton]  
11:45 - 13:00 Lunch  
13:00 - 13:15 Bus departure - to LYS airport  
13:15 - 13:30 Bus departure - to Modane train station  
14:00 - 14:00 End of the conference  
  
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