University of California, Berkeley, Berkeley, CA

Ph.D. in Statistics, with Designated Emphasis in Computational Science and Engineering, 2009 – 2014

  • Research focused on the development and application of statistical methods for causal inference, estimation, and prediction with longitudinal and large-scale datasets.
  • Projects include: techniques for estimation and inference in the presence of interval-censored outcomes, scalable prediction algorithms for massive datasets.
  • GPA: 3.98 / 4.00.

University of California, Berkeley, Berkeley, CA

M.A. in Statistics, 2009 - 2011

The Johns Hopkins University, Baltimore, MD

B.S. in Applied Mathematics & Statistics, and Mathematics, 2005 – 2009

  • Graduated with highest distinctions awarded by the university and by both major departments: University Honors, Honors in Applied Mathematics & Statistics, Honors in Mathematics.
  • GPA: 3.82 / 4.00, Majors GPA: 3.98 / 4.00.


Google, Boulder, CO

Quantitative Analyst, 2014 – Present

Google, Mountain View, CA

Quantitative Marketing Intern, Summer 2013

UCSF, Department of Epidemiology & Biostatistics, San Francisco, CA

Analyst, 2011 - 2013

  • Developed novel statistical methods to analyze multi-cohort observational longitudinal data.
  • Translated quantitative methods and results into non-technical terms for scientist collaborators.

Neustar IP Intelligence, Mountain View, CA

Research & Development Intern, Summer 2012

  • Developed new techniques which improved the performance of Neustar’s IP geolocation prediction algorithm.
  • Evaluated algorithm performance using large-scale datasets and parallel distributed computational resources.

USDA National Agricultural Statistics Service, Washington, DC

Mathematical Statistician, Summer 2009

  • Improved data quality and prediction performance by analyzing national agricultural surveys and censuses.
  • Discovered previously unknown data errors, diagnosed bias in record updating practices, determined more effective prediction variables for quantities of interest.
  • Created and presented an R programming tutorial for agricultural statisticians from the country of Georgia.


NSF Graduate Research Fellow, 2010 – 2013

Awarded to recognize and support outstanding graduate students demonstrating potential for significant achievements in science and engineering research.

Johns Hopkins Applied Mathematics & Statistics Achievement Award, 2009

Awarded to honor outstanding achievement by an Applied Mathematics and Statistics major, recognizing contribution across a broad spectrum of departmental activities including academic performance, applied mathematics research, pedagogy, and leadership.


R, Python, Hadoop, SQL, SAS, Unix