Dr Pengyi Yang
DECRA Fellow, CPC, School of Mathematics and Statistics, The University of Sydney
Children’s Medical Research Institute, The University of Sydney
Cells are ultimate machineries controlled by systems comprising cell signalling, transcriptional, translational, and epigenetic networks. To understand cell systems through large-scale omic data generated from these trans-regulatory networks, methods from data science are indispensable. In this talk, I will first showcase a seminal work where integrative methods were used for discovering fundamental mechanisms in stem cells. Next, I will introduce a suite of data science methods our group have developed for integrating and understanding various aspects of cell-identities and cell-fate decisions using multi-omics on bulk and single cells. Together, these works exemplify the utility of computational methods in making sense of biological systems.
Pengyi Yang is the Group Leader of the Computational Systems Biology group at Children’s Medical Research Institute, at the Westmead Research Hub. He also heads the Computational Trans-Regulatory Biology group at Charles Perkins Centre, and holds a Senior Lectureship at the School of Mathematics and Statistics, the University of Sydney.
As a systems biologist cross-trained in computer science, statistics, and systems biology, Pengyi combines computational and statistical methods to model trans-regulatory networks in stem and progenitor cells using large-scale multi-layered omic data.
Read more about Dr Pengyi Yang.
Download the poster here.