I’m a PhD candidate in Statistics at Carnegie Mellon University, now ABD and expecting to graduate by May 2018.
Formerly I was a mathematical statistician with the U.S. Census Bureau, working primarily in small area estimation, Bayesian statistics, and data visualization. I’ve also applied my statistics skillset in transportation engineering, neuroscience, and humanitarian and volunteer work. My other interests include languages and linguistics, education and teaching, etc.
All opinions expressed on this blog are my own and are not intended to represent those of my employers past or present.
Curriculum Vitae (CV) (pdf, last updated June 2017)
- Functional connectivity analysis of autism using neuroimaging data, at Carnegie Mellon University’s Department of Statistics
- Artificial population and design-based simulations for small area estimation, at the U.S. Census Bureau
- Ranking populations based on sample survey data, also at the U.S. Census Bureau
- Small area estimation with a zero-inflated beta model, also at the U.S. Census Bureau
- Highway bottleneck identification, at Portland State University’s Intelligent Transportation Systems Lab
- Minimum Kolmogorov-Smirnov Estimation (MKSE) for right-censored data, at Portland State University’s Department of Mathematics and Statistics
- R package
RankingProject(on CRAN) with visualizations for comparing independently-sampled populations
- Animated maps of election campaign travel using ggplot2 in R
- Animation of recurring highway bottlenecks near Portland, OR, in MATLAB, for the ITS Lab
- Interface metaphors for network management software, at Olin College
- Pro bono consulting on health and human rights survey data analysis, for StatAid and Lawry Research Associates International, including an analysis for the International Criminal Court trial of Bosco Ntaganda
- Former website co-chair and project coordinator, for Statistics Without Borders
- DataKind “datadive” participant and DataCorps volunteer, for DC Action for Children [datadive writeup; O’Reilly Visualization of the Week; final visualization; final writeup]
- Fall course “36-721: Statistical Graphics and Visualization” at Carnegie Mellon University [syllabus, materials]
- Summer course “36-309: Experimental Design for Behavioral and Social Sciences” at Carnegie Mellon University [syllabus]
- Workshops on “R 101,” “R Graphics,” and “Computer Applications for Small Area Estimation” at the U.S. Census Bureau [materials to be posted]
- Beginning Polish classes at the Global Language Network