Affiliation: The Ohio State University, Department of Statistics

Email: nguyen.1833@buckeyemail.osu.edu

CV (Updated Aug 2019)

Talk Video at SIAM AN18 (The Geometry of ERGMs)

Network Comparison Project Slides

 

 


I recently received my master’s degree in Applied Statistics from The Ohio State University. I am currently looking for both academic positions and data scientist positions in industry. In May 2017, I graduated from San Jose State University with a BS Computer Science and a minor in Mathematics. During my time at Ohio State, I was supported by both the Distinguished University Fellowship and a Graduate Assistantship. My research interests are focused on network analysis, in particular high-dimensional and multi-layer networks. I also maintain an active interest in data science education.


Talks and Presentations


Activities

MBI Workshop: Modeling & Analysis of Dynamic Social Networks: Nov 7 – 9, 2018 MBI, The Ohio State University, Columbus, OH.

Department of Statistics Graduate Student Poster Session: Sep 20, 2018 The Ohio State University, Columbus, OH.

International Congress on Mathematical Software 2018: Jul 24 – 27, 2018 University of Notre Dame, South Bend, IN.

SIAM Workshop on Newtork Science (NS18): Jul 12 – 13 Portland, OR.

SIAM Annual Meeting 2018: Jul 9 – 13 Portland, OR.

Northern California Undergraduate Mathematics Conference 2017: Mar 25, 2017 Sonoma State University, Sonoma, CA.

Poster Session at the Mathematical Association of America (MAA) Conference – The Golden Section: Mar 4, 2017 Santa Clara University, Santa Clara, CA.


Papers

[2] A Hypothesis Test for Network Comparison, with Jinzhao Chen, Kartik Lovekar, and Vishesh Karwa, 2019.

(In preparation) Given any metric that measures the distance between two networks, we propose a permutation-based hypothesis test for comparing networks with the ability to specify a type I error rate.

[1] The Geometry of Exponential Random Graph Models, with Rodolfo Garcia, Elizabeth Gross, and Christopher O’Neil, 2019.

(In preparation) We study a class of Exponential Random Graph Models under the light of algebraic geometry.