Institute for Computational Medicine Events | NYU Langone Health

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Institute for Computational Medicine Institute for Computational Medicine Events

Institute for Computational Medicine Events

The Institute for Computational Medicine sponsors various events throughout the year, creating opportunities for the scientific community to come together and advance science through dialogue. Our events include the Single-Cell Analysis Club meetings; the Genes, Systems, and Computation Seminar Series; the Microbiome Seminar Series; the Computational Cancer Seminar Series; and the Computational Medicine Seminar Series.

Single-Cell Analysis Club Meetings

The Applied Bioinformatics Laboratories at the Institute for Computational Medicine hosts the Single-Cell Analysis Club, which meets monthly to discuss methods and applications of single-cell technologies. All meetings take place virtually on the second Monday of each month from 1:00 to 2:00PM. The following is the schedule for the 2020–21 academic year:

  • September 14, 2020
  • October 12, 2020
  • November 16, 2020
  • December 14, 2020
  • spring 2021 dates to be announced

Genes, Systems, and Computation Seminar Series

Speaker: Samantha Morris, Washington University School of Medicine
Date and Time: April 27, 2021, 1:30–2:30PM
Location: TBD

Speaker: Mark Gerstein, Yale School of Medicine
Date and Time: May 25, 2021, 1:30–2:30PM
Location: TBD

Prior Seminar Speakers

Past speakers of our seminar series have included the following investigators.


Rob Knight: Spatial and Temporal Patterning of the Human Microbiome

Roy Kishony: Pathogen Evolution Within the Human Body

Tami D. Lieberman: Adaptation and Diversification of Pathogens and Commensals Within Individual People

Eugene V. Koonin: Theory of Microbial Genome Evolution

Joao Xavier: Changes in Microbiome Composition and Risk of Infection by Antibiotic-Resistant Bacteria

Jonas Schluter: Microbiome—An Ecosystem on a Leash

Hesper Rego: None for All, But All for One—Molecular Mechanisms of Phenotypic Heterogeneity in Mycobacteria

Jose Clemente: Novel Tools to Characterize the Microbiome—Applications to Fecal Microbiota Transplantation

Jeremiah Faith: The Influence of Interpersonal Variation in Human Microbiome Composition on Immune Tone and Disease Susceptibility

Katharine Coyte: The Ecology and Evolution of Complex Microbial Communities

Computational Cancer

Christina Leslie: Decoding Epigenomics Programs in Differentiation and Disease

Oliver Elemento: Integrating Multiomics, Patient-Derived Models, and Systems Biology Into Cancer Precision Medicine

Alex Shalek: Translating Single–Cell Genomics to the Clinic

Saeed Tavazoie: Gene Regulation Beyond the Standard Model: Adaptive Reprogramming of Gene Expression by Stochastic Tuning

Jacob Stewart-Ornstein: Defining the Signaling Space of p53 Activity Across Species and Tissues

Ludmil Alexandrov: Signatures of Mutational Processes in Cancer

Paz Polak: A Mutational Signature Reveals Alterations Underlying Deficient Homologous Recombination Repair in Breast Cancer

Nicholas Navin: Delineating Tumor Evolution with Single Cell Genomics

Raphael Pelossof: Machine Learning for Biological Interactions and Biomarker Discovery in Rectal Cancer

Michael S. Lawrence: Patterns of Somatic Mutations Across Cancer

Christopher Mason: Genetic and Epigenetic Clones in Leukemia and Astronauts

Ashley Laughney Bakhoum: Dissecting Tumor Cell Plasticity and Population Interactions Supporting Metastasis Using Single Cell Genomics

Paul Geeleher: The Influence of Genetic Variation on Gene Expression and Drug Response in Cancer

Orit Lavi: Brain Cancer as a Complex Dynamical System

Dvir Aran: Portraying the Cellular Heterogeneity in the Tumor Microenvironment Using Bulk and Single-Cell Transcriptomes

Dominik Glodzik: Causes and Consequences of DNA Repair Defects Revealed from Whole Genome Sequences of Cancers

Ruli Gao: Tracking Tumor Evolution and Drug Resistance by Single Cell Sequencing

Peng Jiang: Big Data Approaches to Model Cancer Therapy Response and Resistance

Erez Persi: The Selfish Peptide: Repeat Instability in Species and Cancer Evolution

Geoff Fudenberg: Physical Biology of the Genome

Valentina Boeva: Discovery of Two Transcriptional States of Neuroblastoma Cells via the Analysis of Super-enhancer Landscape

Elham Azizi: Bayesian Hierarchical Modeling of Heterogeneous Phenotypes in the Tumor Microenvironment

Computational Medicine

Peter Sudmant: Post-Transcriptional Gene Regulation in the Aging Brain: Stress, Cellular Identity, Diversity, and Disruption

Nikolaus Rajewsky: Regulatory RNAs in Health and Disease

Genes, Systems, and Computation

Elena Rivas: Structural RNAs and How to Find Them

Bernard Degnan: Origin of Animal Multicellularity and Genomic Complexity

Mario Suva: Deciphering Brain Tumor Biology by Single-Cell Genomics

Computational Medicine Workshops

We host computational medicine workshops for researchers interested in this emerging field.

Single-cell RNA-Seq CEL-Seq2 Workshop–March 20, 2017

Participants in this workshop led by the lab of Itai Yanai, PhD, learned how to start with hundreds of biological samples and get down to single-cell data analysis in only two days. Attendees learned how to take a single cell and obtain its entire transcriptome using the CEL-Seq2 protocol. The workshop can be viewed in its entirety in the video below.

VIDEO: Dr. Itai Yanai, director of the Institute for Computational Medicine, hosts a workshop on single-cell RNA sequencing using the CEL-Seq2 protocol.