CGSI 2025

CGSI Organizing Committee

Faculty 2025

Ahmed Alaa | Evaluation of Generative AI Models in Healthcare
Can Alkan | Acceleration of bioinformatics workloads
Mohammed Alser | Georgia State University
Valerie Arboleda | UCLA
Brunilda Balliu | UCLA
Vikas Bansal | Low mappability genes in the human genome challenges and opportunities
Elias Bareinboim | Columbia University
Kayhan Batmanghelich | Boston University
Gurkan Bebek | Case Western Reserve University
Elhanan Borenstein | Tel Aviv University
Brian Browning | Methods for detecting identity-by-descent segments
Na Cai | Invasion of the heritable confounders
Shai Carmi | Evaluating the utility of IVF embryo screening for polygenic disease risk
Francesco Paolo Casale | Helmholtz Munich
Tim Chang | UCLA
Rayan Chikhi | Living in the past of Genomics
Ercument Cicek | Bilkent University
Andy Dahl | UChicago
Jessica Dennis | University of British Columbia
Mohammed El Kebir | Integer Linear Programming for Computational Biology
Jason Ernst | UCLA
Eleazar Eskin | Separating good kmers from bad kmers in viral metagenomics
Nandita Garud | Pervasive selective sweeps across human gut microbiomes
Steven Gazal | University of Southern California
Amy Goldberg | UCLA
Casey Greene | University of Colorado
Ilan Gronau | Stdpopsim – a community-maintained library of standard population genetic simulation models
Gamze Gürsoy | Privacy enhancing technologies and their applications to genomics
Juan Gutiérrez | A Mathematical Theory of Discursive Networks
Iman Hajirasouliha | Weill Cornell Medicine
Jo Hardin | Pomona College
Jaana Hartiala | UCLA
Fereydoun Hormozdiari | UC Davis
Margaux Hujoel | UCLA
Haky (Hae Kyung) Im | University of Chicago
Iuliana Ionita-Laza | Columbia University
Vanessa Jonsson | UC Santa Cruz
Shalmali Joshi | Columbia University
Aly Khan | University of Chicago
Jaehee Kim | Cornell University
David Knowles | Using the Pyro probabilistic programming language for statistical genomics

David Koslicki | Prokrustean Graph A Substring Index for Rapid K Mer Size Analysis | CGSI 2025

David Koslicki | Sketching for fast metagenomic analysis

Smita Krishnaswamy | Deep neural network models for inference of cellular dynamics and underlying regulatory networks: MIOflow (manifold interpolating flows)
Christina Leslie | Memorial Sloan Kettering Cancer Center
Wei Li | University of California, Irvine
Jingyi Jessica Li | mcRigor: a statistical method to enhance the rigor of metacell partitioning in single-cell data analysis
Qunhua Li | Measure reproducibility of high throughput experiments and LLM generated analyses
Sheng Li | University of Southern California
Christoph Lippert | Hasso Plattner Institute
Cong Ma | Inference of copy number aberrations using bulk and single cell sequencing data
Ying Ma | Statistical and Computational Methods for Cell Type Deconvolution in Spatial Transcriptomics
Nick Mancuso | Efficient count-based models improve power and robustness for large-scale single-cell eQTL
Siavash Mirarab | Incomplete lineage sorting phylogenetics meets population genetics
Erin Molloy | Dynamic programming for scalable cell lineage tree reconstruction with interpretable optimality guarantees
Jazlyn Mooney | Population genetics in Wild and Captive Populations of Conservation Concern: Challenges and Opportunities
John Novembre | University of Chicago
Layla Oesper | Computational methods for improved inference of tumor evolution
Loes Olde Loohuis | UCLA
Bogdan Pasaniuc | UPenn
Pavel Pevzner | Algorithmic challenges in complete genomics and metagenomics
Teresa Przytycka | National Institute of Health
Rajesh Ranganath | NYU
Ben Raphael | Princeton University
Saharon Rosset | Tel Aviv University
Sushmita Roy | Unsupervised representation learning with applications to 3D genome organization and cell-type-specific gene regulatory programs
Julia Salzman | Stanford University
Kris Sankaran | Modular Software for Mediation Analysis of Microbiome Data
Palash Sashitta | Evolutionary models and algorithms for tumor phylogeny inference
Matteo Sesia | Model-X statistical inference for GWAS data
Sagiv Shifman | Genotype–phenotype heterogeneity in autism
Ritambhara Singh | Integrative Deep Learning for Heterogeneous Biomedical Datasets
Pavel Skums | University of Connecticut
Sagi Snir | U Haifa, Israel
Paul Spellman | UCLA

Matthew Stephens | Nonnegative matrix factorization of count data with the shifted log transform

Matthew Stephens | Genetic fine mapping via the Sum of Single Effects SuSiE model

Daniel Tward | UCLA
Julia Vogt | ETH Zurich
Wei Wang | UCLA
Wenyi Wang | A Guide to Transcriptomic Deconvolution in Cancer
Tandy Warnow | Advances in Large scale Multiple Sequence Alignment
Xinzhu “April” Wei | Cornell University
Jennifer Wilson | Predicting new drug phenotype by simulating off target effects
Jason Xu | Eliciting simple and transparent algorithms for statistical learning via Majorization-Minimization (MM)
Chongzhi Zang | Predicting functional transcription factors from various genomics data
Shaojie Zhang | University of Central Florida
Jasmine Zhou | UCLA
Or Zuk | Generative Models and Their Applications in Computational Biology