# Hi

I am a grad student in applied math at UCDavis from 2013 to 2020 (expected).

Office: MSB2141. Email: (first name initial + last name full) @ ucdavis.

My CV (updated: Feb 22nd, 2019).

# Research interests

I am broadly interested in information theory and statistics with memory constraints. I am currently studying these in the context of distributed machine learning with James Sharpnack’s. In the past few years, I have become interested in networks and graph algorithms. My work involves a blend of theory and computation.

# Teaching

**[Fall 2019]**I am a TA for MAT12 Pre-Calculus with Korana Burke.

# Recent academic work

**[Fall 2019]**James presented our work on scan statistics epidemiology at GeoVet 2019. I am thinking about hierarchical compressed communication again.**[Summer 2019]**I am working on a project to apply scan statistics to epidemiology with Beatriz Lopez and James Sharpnack.**[Spring 2019]**Our paper “Estimating Graphlet Statistics via Lifting” was accepted for a poster presentation at KDD2019! Big thanks to Kiril Paramonov for the conceptual work and to James for including me on the project.**[Fall - Winter 2019]**I organized the math/stats reading group “Information Theory and Statistics”.**[July 2018]**I gave a talk on “Statistical Limits in Hierarchical Communication” in the Student Chapter Presentations section at the 2018 SIAM Annual Meeting in Portland, Oregon.**[June 2018]**I passed my qualifying exam! I defended a project proposal titled “Towards Statistical Limits in Hierarchical Communication”.**[Summer 2017]**I worked at Los Alamos National Lab with Marc Vuffray and Andrey Lokhov on parameter learning in models of power transmission. Our project paper was accepted for presentation at PSCC2018: “Online Learning of Power Transmission Dynamics”, [Arxiv], [IEEE].**[Summer 2014 - Winter 2016]**I studied the inference of stochastic processes with memory, modeled by Hidden Markov Models, using information theory and computational mechanics. Kelly Finn and I analyzed times series data of moving monkeys using various measures of complexity such as entropy rate, statistical complexity, and excess entropy. I was supervised by Jim Crutchfield.