Bio

Hi, I am a postdoctoral fellow in the Statistics Department at Stanford University under the supervision of Emmanuel Candès. Previously I was a PhD student at the Seminar for Statistics in the Department of Mathematics at ETH Zürich, supervised by Marloes Maathuis and Nicolai Meinshausen.

Research interests

My research focuses on developing reliable methodologies to uncover scientific insights from data. In my current work, these insights take the form of conditional independence relations and causal mechanisms. Examples include identifying genotypes that are conditionally dependent on a trait given the other genotypes (here), modeling gene network (here), estimating the causal effect of college education on extremely high wages (here), and discovering disease-causing genes in patients with rare diseases (i.e., finding the ultimate cause of an observed effect, see here). “Reliable” is achieved by incorporating error rate control into the developed methods, ensuring that the discoveries are largely correct. This includes controlling the widely used false discovery rate (here) or using simultaneous error bounds to check many sets if the task is more of an exploratory nature (here, here).

Email: jinzhoul@stanford.edu