CGSI 2022

Organizing Committee

Schedule

Google Calendar 2022
Videos

Faculty 2022

John Novembre | Lessons in human genetic variation and the impact of divergence, gene flow, and selection: Sardinia population history and complex trait variation

Casey Greene | Integrating -omic data across datasets and layers

Rayan Chikhi | Recent progress towards petabase-scale genomics

Wenyi Wang | Computational deconvolution of cancer genomes/transcriptomes

Jaehee Kim | Bayesian Inference of Dependent Population Dynamics in Coalescent Models

Ben Raphael | Alignment, Integration, and Modeling of Spatial Transcriptomics Data

Siavash Mirarab | Distance-based phylogenetics: past, present, and (perhaps) future

Melissa Gymrek | A practical guide to performing genome-wide analyses of tandem repeats

Valerie Arboleda | Integration of monogenic and common variants in human disease

Teresa Przytycka | Mutational Signatures – form methods to mechanisms

Brian Browning | Haplotype phasing: methods and accuracy

Or Zuk | Evaluating the potential benefits of embryo screening using polygenic scores for multiple continuous and disease traits

Jazlyn Mooney | On the number of genealogical ancestors tracing to the source groups of an admixed population

Jonathan Flint | Genetics basis of depression

Eleazar Eskin | Swab-Seq: COVID-19 Testing leveraging Computational Genomics and Genomics Technology

Karen Conneely | Clonal hematopoiesis of indeterminate potential and DNA methylation in aging and disease

Nandita Garud | How do we detect evolution from microbiome data?

Sasha Gusev | Understanding GWAS mechanisms with Transcriptome-Wide Association Studies

Tandy Warnow | Multiple Sequence Alignment

David Knowles | Determining the molecular intermediates between genotype and phenotype

Pejman Mohammadi | Quantitative models of genetic variation in cis-regulation

Pier Palamara | Large-scale inference of ancestral recombination graphs enables genealogy-based association of complex traits

Alex Zelikovsky | Analysis of SARS-CoV-2 Sequencing Data

Na Cai | Phenotype integration improves power and preserves specificity in biobank-based genetic studies of Major Depressive Disorder

Nick Mancuso | Variational Inference for large-scale genomic data

Nanyun Violet Peng | Discourse-level Natural Language Understanding for Scientific Literature

Ilan Gronau | The Case for Genetic Genealogies in Population Genomics

Johanna Hardin | onlineFDR control with applications to RNA-Seq data

Sagi Snir | Horizontal Gene Transfer Phylogenetics: A Random Walk Approach

Itsik Pe’er | Stochastic dynamics of the microbiome

Rayan Chikhi | Hands-on introduction to pangenome graphs

Rajesh Ranganath | Out of Distribution Generalization

Lisa Bastarache | EHR Data quality: Why you should worry & what you can do about it

Haky Im | Integrating multiple omic data to improve mechanistic understanding and prediction

James Zou | How to perform in silico clinical trials using EHR

Jingyi Jessica Li | Statistical Rigor in Genomics Data Science

Nancy Cox | How Genetics Can Help Untangle Institutionalized Health Inequity

Loes Olde Loohuis | Disease trajectories of severe mental illness | 2022

Harold Pimentel | Inference methods for high-throughput CRISPR screens

Xihong Lin | Overview of Rare Variant Analysis of Whole Genome Sequencing Association Studies

Sushmita Roy | Inference of Gene Regulatory Networks from bulk and single cell omic datasets | CGSI 2022

Rajesh Ranganath | Interpretability and Out of Distribution Generalization in Deep Predictive Models | CGSI 2022

Paul Boutros | Computational Methods to Quantify Lethal Cancer Evolution

Eimear Kenny | Population Genetics in an Era of Genomic Health

Chris Gignoux | Applying polygenic scores at biobank scale

Loic Yengo | Lessons from the Largest Genome-Wide Association Study of Human Height

Bogdan Pasaniuc | Personalized genomic medicine using large-scale biobanks linked with medical records

Smita Krishnaswamy | Harnessing Data Geometry for Biomedical Insights

Kayhan Batmanghelich | Bridging ML Models with Medical Insights for Learning, Inference, and Model Explanation for Radiology Applications

Jason Ernst | A Tutorial on Computational Methods for Modeling and Analyzing Epigenomic Data

Sriram Sankararaman | Machine learning for Biobank-scale data

Iman Hajirasouliha | Applications of Deep Learning to Genomics and Digital Pathology

Daniel Tward | Multiscale metrics for comparing spatial transcriptomics datasets

Kirk Lohmueller | The Poisson Random Field model in population genetics