The nextcolloquium, which takes place on February 28, 2024 at 10:00 am U.S. EasternTime, will feature a presentation by Kimberly Glass from Brigham and Women's Hospital.

NetworkModeling for Precision Medicine

Abstract
Combining biomedical data with networkscan provide unprecedented insights into the mechanisms underlying disease.Furthermore, quantifying how the complex structure of biological networks isaltered during disease is critical when developing new therapeutic or preventionstrategies. Although many methods have been developed to reverse engineerbiological networks, these approaches typically use multiple experimentalsamples to estimate a single “aggregate” network, which does not to capturepopulation-level heterogeneity. In this talk I will review a method our groupdeveloped for estimating sample-specific networks. I will thendemonstrate how we have used this approach to link changes in gene regulatorynetworks with patient information, supporting the emerging field of precisionnetwork medicine.

About the Speaker
Kimberly Glass is an expert in complexnetworks and genomic data analysis. She obtained her PhD in Physics in 2010from the University of Maryland. From 2010-2014, Dr. Glass was a postdoctoralfellow at Dana-Farber Cancer Institute and the Harvard T.H. Chan School ofPublic Health where she received training in computational biology. During herpost-doc she developed several computational and data-integration methods forinferring and analyzing gene regulatory networks. In 2014 Kimberly joined thefaculty of the Channing Division of Network Medicine (CDNM) at Brigham andWomen’s Hospital where she is continuing her research in systems medicine andnetwork methods. Her current research focuses on how to integrate and interpretmultiple biological data-types in the regulatory network context and on how tounderstand the biological mechanisms represented in these networks. She is alsoinvestigating potential applications of networks in precision medicine, usingnetwork approaches to understand susceptibility to, severity, and treatment ofcomplex diseases.

Registration link

https://iu.zoom.us/webinar/register/WN_kj-cg_saTmi4oQERGNX8Lg#/registration