Tianchen Qian 钱天琛
Welcome! I can be reached via email at t.qian [at] uci [dot] edu. If you are a student at UCI, feel free to reach out and I'm happy to chat about research or in general!
About me. I am an Assistant Professor in the Department of Statistics at University of California Irvine. I did my postdoc training with Susan Murphy in the Department of Statistics at Harvard University. I received my Ph.D. in Biostatistics from Johns Hopkins University in 2017, under the joint supervision of Constantine Frangakis and Michael Rosenblum. I received Bachelor’s degree in Mathematics from Tsinghua University, Beijing, in 2012.
Research. My research aims to understand causal relationships through the analysis of highly complex data. In particular, I work on
Statistical and causal modeling of high-dimensional longitudinal data in the context of sequential decision making and mobile health;
Semiparametric models for causal inference and missing data;
Design and analysis of clinical trials.
Here is a list of my publications by topic, with more context on each of the directions.
My profile at Google Scholar.
Resources about research
Online Causal Inference Seminar (publicly available via ZOOM, every Tuesday)
* If you are interested in Causal Inference, I highly recommend checking out this regular seminar series. They also have past seminar recordings on their youtube channel (some given by very famous statisticians!)
FAQs about Micro-Randomized Trial (MRT) (co-authored by myself and colleagues)
* This is useful for those who have never heard of the term "micro-randomized trial" and want to get a quick idea.
NIH's fictional manuscript for Micro-Randomized Trial (MRT) (co-authored by myself and colleagues)
SAGE tutorial on Micro-Randomized Trial (MRT) (authored by myself)
d3center: An integrated resource portal about software for MRT and SMART designs.