Lecture 1: Mining Cancer Big Data: from driver mutations to basic cellular mechanisms
Speaker: Dr. Jason Wong, Associate Professor, Department of Biomedical Sciences, The University of Hong Kong.
Time: 13:30-14:30, April 11, 2019 (Thursday)
Venue: T2-102
Language: English

Abstract of the lecture: The ability to sequence cancer genomes has generated vast quantities of data over the past decade. From this data much has been learnt about the mutations that cause cancer, giving rise to the field of precision medicine. At the same time, it has also become apparent that cancer genomics data contains a wealth of information about fundamental cellular processes. In this lecture, I will point out some of the most important findings that have been made through computational cancer genomics, highlighting some recent research from our group and discuss the potential of publicly available cancer genomics resources for data mining.
 
Bio of Dr. Jason Wong: Dr. Jason Wong is an Associate Professor at the School of Biomedical Sciences at the University of Hong Kong. He received his B.Sc (Hons I), specializing in Bioinformatics from the University of Sydney. He completed a D.Phil in Bioanalytical Chemistry at the University of Oxford, UK. He has published over 80 original peer-reviewed journal articles with 18 as first author and 24 as senior author in journals including Nature, Cell Reports, Genome Biology, and Nucleic Acids Research. He currently leads the Cancer Genomics and Bioinformatics group and his research is focused on the study of cancer mutational processes and their effects on gene regulation and function.