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 scientific insights take the form of conditional independence relations and causal mechanisms. Examples include identifying genetic variants associated with a phenotype of interest conditional on other genetic variants, estimating the causal effect of anthropogenic influences on extreme precipitation (here), and discovering disease-causing genes in patients with rare diseases (here). “Reliable” is achieved by incorporating error rate control into the developed methods, ensuring that the discoveries are largely correct. This includes controlling the false discovery rate when the goal is to produce a single discovery set (here), or using simultaneous error bounds if the task is more of an exploratory nature and requires more flexibility (here, here).

Email: jinzhoul@stanford.edu