InCoB 2020 Keynote and Plenary Speakers

Biographical Info

Biographical Info:

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 Charles Perkins Centre, University of Sydney. 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 trans-regulatory network reconstruction and single-cell omics.

Title:

Computational methods for trans-omics and single cells

Abstract:

In this talk, I will introduce various computational and machine learning methods used for integrating trans-omics data for trans-regulatory network reconstruction and characterisation. I will first focus on methods for cell signalling analysis using phosphoproteomics data. Then, I will showcase the methods that we have developed for classifying single cells and characterising gene properties on the single-cell level. Together, these works exemplify our work on computational method development and their application in making systems biological discovery.