Hi I am Tianyi Chen!

I am currently a 5th-year Ph.D. student in Applied Mathematics and Statistics department at Johns Hopkins University. I have the privilege of being mentored by Carey Priebe and Avanti Athreya. I also work 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.

I am currently involved in research on changepoint analysis in the time series of networks with a novel embedding method called Euclidean mirror.

I am passionate about the intersection of theory and practice: tackling statistical challenges inspired by real data and then using that knowledge to build real-world solutions. At present, I am collaborating with neuroscientists Dowlette , Lena Smirnova and Erik to apply Euclidean mirror method to neural organoid microelectrode array data.

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 Aug 21 2025)