About

I am an Assistant Professor in the Department of Statistical Science at Duke University, with a secondary appointment in Biostatistics and Bioinformatics.

Prior to joining the faculty at Duke, I worked with Kenneth Lange at the University of California Los Angeles with support from the NSF Mathematical Sciences Postdoctoral Research Fellowship. I completed my PhD in Statistics at the University of Washington advised by Vlad Minin, where my work was funded by an NDSEG Fellowship.

I grew up in Tucson, where I received a BS in Mathematics from the University of Arizona in 2012. There I was mentored by Kevin Lin and William Vélez, supported by the Flinn Foundation Scholarship.

Some recent and upcoming:

Research assistant Jenny Huang is designated Class of 2023 Faculty Scholar, the highest honor that the faculty at Duke awards undergraduates. Congratulations!
I am excited to be a long-term visitor at the Simons Institute program on Graph Limits and Processes on Networks: From Epidemics to Misinformation. You can also find me/check out talks at the upcoming ISBA (Montreal), ECOSTA (Kyoto), JSM (DC), ICML (Baltimore), IISA (Bangalore) meetings
I am area chair for ICML, ICLR, NeurIPS and AIStat 2022.
I recently gave a Plenary Lecture at the ISI Winter School on Machine Learning on designing MM algorithms, and attempted a layman’s explanation of Power k-Means for Data Skeptic