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Presented By: DCMB Seminar Series

DCMB / CCMB Weekly Seminar

Jian Ma, PhD / Probing the Nuclear Organization via Machine Learning

Abstract: The chromosomes of the human genome are organized in three-dimensions by compartmentalizing the cell nucleus and different genomic loci also interact with each other. However, the principles underlying such nuclear genome organization and its functional impact remain poorly understood. In this talk, I will introduce some of our recent work in developing machine learning methods by utilizing whole-genome mapping data to study the higher-order genome organization. Our methods reveal the spatial localization of chromosome regions and exploit chromatin interactome patterns within the cell nucleus in different cellular conditions, across mammalian species, and also in single-cell resolution. We hope that these algorithms will provide new insights into the principles of nuclear spatial organization.

Bio: Jian Ma is an Associate Professor in the Computational Biology Department within the School of Computer Science at Carnegie Mellon University. He was previously on the faculty of the University of Illinois at Urbana-Champaign. His lab develops algorithms to study the structure and function of the human genome with a focus on nuclear organization, gene regulation, comparative genomics, and single cell biology. He received several awards, including an NSF CAREER award and a Guggenheim Fellowship. He is the Contact PI of a UM1 Center project in the NIH 4D Nucleome Program (Phase 2; 2020-2025). https://www.cs.cmu.edu/~jianma/

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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