Teaching

At the University of Hong Kong, my tenure stream appointment is in the Department of Philosophy, the Institute of Data Science and (by courtesy) the Faculty of Law. I teach courses across all three departments. In Philosophy, I teach core foundations courses for MA PPE students (PHIL 7101), and MA AIES (PHIL 7001 and PHIL 7010) students. In Data Science, I teach a research oriented PhD course on ethical dimensions of machine learning and artificial intelligence (DATA 8013). And in Law, I teach an LLB course on law and ethics of artificial intelligence (LLAW 3065).

At the University of Toronto, I taught Bayesian Statistics (STA 365), Statistics Ethics and Law (STA 2052), Ethics of Data Science (PHL 377) and a philosophy of science graduate seminar (PHL 2223).

At INSEAD, where I am a visiting professor, I occasioanlly teach an MBA class entitled Ethics of Algorithms. Previously, I was a tenure stream professor at INSEAD, and I taught Management Decision Making (MBA), Bayesian Statistics (PhD), and Quantitative Methods (MBA).

Here is an introductory lecture I like comparing frequentist to Bayesian approaches to inference: Bayes Lecture.