Welcome! I am a 6th-year Ph.D. student in the Statistics Department at Harvard University, co-advised by Prof. Tracy Ke (Harvard University) and Prof. Caroline Uhler (Broad Institute of MIT and Harvard).

My Ph.D. research focuses on theory, methods, and applications in network data science. My theoretical work includes studying the optimal phase transition for global testing in the mixed membership stochastic block model, and developing a new algorithm for mixed membership estimation in dynamic networks. My applied work leverages network and other statistical methods to analyze modern genomic data sets in the context of, e.g., biomarker discovery, drug repurposing, cellular aging, and 3D genome.

I have several years of teaching experience in Statistics and Probability at the undergraduate and graduate level.

Education

Ph.D., Statistics, Harvard University, Cambridge, MA, 2018-2024

M.Sc., Technology & Policy, Massachusetts Institute of Technology, Cambridge, MA, 2016-2018

M.Sc., Biological Engineering, École Polytechnique, Palaiseau, France, 2015-2016

B.Sc., Mathematics & Science, École Polytechnique, Palaiseau, France, 2013-2015

Fellowships & Awards

Bok Center Statistics Pedagogy Fellowship, Harvard University, 2021

Bok Center Certificate of Distinction in Teaching Award, Harvard University, 2019-2020-2021

Keystone Symposia Travel Fellowship, Keystone Symposia, 2019

Technology & Policy Program Best Thesis Award, Massachusetts Institute of Technology, 2018

Outstanding Investment Award, École Polytechnique, 2015