MIG Webinar - Pengyi Yang (Full video available)
Recorded via Zoom on Friday 17th July, 2020
Click here to view the video
School of Mathematics and Statistics, the University of Sydney
Computational methods for trans-regulatory network reconstruction and single-cell analytics
This talk has two parts. In the first part, I will showcase our work on reconstructing trans-regulatory networks (that cut across multiple omics layers) in embryonic stem cells and during their differentiation. I will introduce various computational and machine learning methods used for integrating multi-omics data for trans-regulatory network reconstruction and characterisation. In the second part of the talk, I will introduce some computational methods we developed for classifying single cells and characterising gene properties on the single-cell level. Together, these works exemplify the utility of computational methods in making systems biological discovery.
Pengyi Yang is a NHMRC Investigator at the School of Mathematics and Statistics, the University of Sydney. He heads the Computational Systems Biology group at Children’s Medical Research Institute, Westmead, and the Computational Trans-Regulatory Biology group at Charles Perkins Centre. As a systems biologist cross-trained in computational science and biology, Pengyi combines machine learning and statistical methods to model trans-regulatory networks that cut across cell signalling, epigenomics and transcriptional regulations. His has made significant contribution to (i) methodological development in cell population and single-cell multi-omics; and (ii) systems biology of stem cells and differentiation.