For the next Statistical Bioinformatics Seminar, we will be hosting Dr Thuc Le from the University of South Australia. The seminar will be held at 1:00pm Monday at the Charles Perkins Centre, Seminar Room (Level 3, large meeting room). The format of the talk is approximately 40 minutes plus discussion. Further information can be found on the website, https://www.maths.usyd.edu.au/u/SemConf/StatisticalBioinformatics.html Title: Causality Discovery and Applications in Bioinformatics and Cancer Research Abstract: In many real-world applications, the research questions of interest are about causality rather than association, whether the goal is for better explanation, prediction or decision making. Causal discovery aims to answer the causality related questions by inferring the cause-effect relationships between variables. Traditionally, causal relationships are identified by making use of interventions or randomised controlled experiments. However, conducting such experiments is often expensive or even impossible due to cost or ethical concerns. Therefore, there has been an increasing interest in discovering causal relationships based on observational data, and in the past few decades, significant contributions have been made to this field by computer scientists. In this talk, I will briefly introduce causality discovery approaches and then talk about a few applications in Bioinformatics and cancer research, including inferring miRNA regulatory relationships, predicting cancer treatment responses, and identifying cancer drivers. About the speaker: Thuc is a Senior Lecturer in the School of Information Technology and Mathematical Sciences, University of South Australia. He is currently an NHMRC Early Career Research Fellow in Bioinformatics (2017-2020). His research focuses on the development of causal inference methods and their applications in Bioinformatics, particularly in gene regulatory networks, cancer drivers, non-coding RNAs, and cancer subtype discovery.