Registration

Sign Up:

Email *

* Required

First Name *

* Required

Last Name *

* Required

Company *

* Required

Job Title *

* Required

Country *

* Required

(*) denotes required form field(s)

WorkCast's registration process uses cookies, by submitting this registration form you agree to our cookie policy.

Gene Regulatory Networks Online Symposium

Originally Aired December 22, 2021

Gene regulatory networks (GRNs) have always been fundamental in the study of basic biology and drug development. With advancements in technologies like single cell sequencing, the granularity and precision of GRNs have drastically improved, and so has the potential for impactful advancements in drug development. Such advancements have only been made possible through the use of machine learning. As the third in a sequence of symposiums focusing on machine learning applied to immunology, biology, and medicine, this symposium brings together leaders in the field to discuss the topic of GRNs.

Presenters:

Caroline Uhler

Associate Professor and Co-Director of the Eric and Wendy Schmidt
Center at the Broad Institute of MIT and Harvard
MIT
Talk description

Fabian J. Theis

Prof. Dr. Dr., Head of Helmholtz Munich Computational Health Center & full professor
Mathematics, Technical University of Munich; Scientific Director Helmholtz AI; Associate Faculty Wellcome Sanger Institute
Talk description

Samantha Morris

Associate Professor of Developmental Biology and Genetics
Washington University in St. Louis
Talk description

Jason Buenrostro

Assistant Professor, Harvard University, Stem Cell and Regenerative Biology
Co-Director, Gene Regulation Observatory, Broad Institute
Talk description