Click here for a pdf (and better looking) version of my resume. Last updated September 2018.

SELECTED EXPERIENCE


Data Scientist

US Census Bureau, August 2018 - Present

  • Using NLP techniques for classification problems involving data from multiple sources including government records, website data, and survey paradata.

Postdoctoral Scholar

UC Los Angeles, September 2017 - August 2018

  • Computational modelling of Germanium quantum dot growth on surfaces. Preliminary results point towards new experimental approaches.

  • Maintained an open-source Python module used with electronic structure software.

  • Collaborated with experimental scientists across disciplines and institutions.

Graduate Student

UC Irvine, September 2012 - August 2017

  • Researched thermal density functional theory: elucidated a well-used but unexplained approximation, extended the theory mathematically, and created a new approach that applies this theory in new contexts.

  • Collaborated with scientists abroad which led to a high impact publication.

  • Founded and led a science policy group: developed and presented curriculum, collaborated with local science policy groups, and organized an 80 person symposium.

  • Served for two years as an associate editor for the Journal of Science Policy and Governance and helped to edit and publish five issues.

Consultant

Seed Consulting Group, February 2017 - April 2017

  • Developed data-driven grant writing framework for a local environmental nonprofit.

  • Successfully pitched the framework and associated tools which were immediately implemented by the organization.

EDUCATION

Doctor of Philosophy, Physics
University of California, Irvine 2017
Thesis: Developing Thermal Density Functional Theory using the Asymmetric Hubbard Dimer

Master of Science, Physics
University of California, Irvine 2014

Bachelor of Science, Physics, minor in Mathematics, summa cum laude
University of California, Davis 2012
Thesis: The Theory of Interstitial Hydrogen

TECHNICAL SKILLS AND CERTIFICATIONS

Data science: classification and regression, data parsing and cleaning, data visualization
Languages:  Python, Mathematica, SQL
Tools: git and Github, unix/bash, Jupyter, LaTeX, Microsoft Office
Communication: Honed verbal and written skills by technical and non-technical talks, taught a variety of courses, and published 5 peer reviewed papers and a book chapter.
Conflict Resolution: Attended, and put into practice, a 40 hour basic mediation training.
Mathematics: Multivariate calculus, linear algebra, complex analysis, ordinary and partial differential equations, set theory, numerical methods