Hi I am Tianyi Chen!

I am currently a postdoctoral fellow in Lena Smirnova’s lab, working on microelectrode array (MEA) data analysis to help build organoid intelligence.

I recently received my Ph.D. in Applied Mathematics and Statistics from Johns Hopkins University (May 2026), where I had the privilege of being mentored by Carey Priebe and Avanti Athreya. I also worked closely with Youngser Park and Zachary Lubberts. Prior to this, I obtained my undergraduate degree in Statistics from Renmin University of China under the guidance of Yang Li, Feifei Wang, and Xing Wang.

My dissertation focused on changepoint analysis in the time series of networks with a novel embedding method called Euclidean mirror.

In addition to my study of statistics, I have a broader interest in the pursuit of varied forms of knowledge. I have a deep appreciation for movies and literature, and during my undergraduate, I, along with my incredible friends, produced a short movie and a vlog. Additionally, I have a passion for philosophy. (updated July 10 2026)