PhD., Applied Mathematics

B.Sc, Physics and Mathematics

Network Quantitative Engineer

Meta

Denver, CO

Present - 2022

• Used data analytics and statistical modeling to improve the efficiency of the Meta network backbone
• Apply time series models to forecast demand at multiple time scales

Data Scientist

University of Colorado Boulder

Boulder, CO

2022 - 2020

• Worked directly with CU Boulder admissions and recruitment staff to measure efficacy of marketing interventions, segment and understand prospective student populations, and forecast enrollment and prospect engagement
• Contributed to design of experiments testing interventions to improve enrollment, results enabled re-allocation of a substantial portion of the communications budget
• Built and validated cross-team data resources such as novel datasets and dashboards
• Developed, tested, and documented pipelines using Python and SQL to extract bulk data from admissions CRM for analysis and storage.

Research Intern

National Renewable Energy Laboratory

Golden, CO

2020 - 2019

• Proposed novel Bayesian time series approach to disaggregate solar power generation from gross home power consumption. Proposal improved model error over other state-of-the-art methods by up to 50%
  
• Contributed code and methods to a project using high resolution, fisheye cameras (“Total Sky Imagers”) to estimate and forecast local solar energy availability

Research Assistant

Dukic Lab

Boulder, CO

2019 - 2015

• Developed and analyzed a novel random matrix model to explain phenomena at the intersection of ecology and epidemiology
• Published and presented at Society of Industrial and Advanced Mathematics conferences (both General and Regional conferences)
• Worked with CU Boulder Office of Data Analytics to forecast graduation rates and tuition revenue, using Bayesian survival models.

Instructor, Advanced Statistical Modeling

University of Colorado Boulder

Boulder, CO

2021

Instructor of record for a mixed undergraduate/graduate course covering multiple regression theory, generalized linear models, and elementary Bayesian statistics.

• Adapted existing course examples to demonstrate modern R tools such as tidyverse, ggplot2, and rstanarm
• Created 4 new weeks of course material which included introductory Bayesian statistics, imputation, and causal modeling

Teaching Assistant, Bayesian Statistics and Computing

University of Colorado Boulder

Boulder, CO

2020

Teaching assistant for a mixed undergraduate/graduate course covering Bayesian statistical theory and computation

• Created and presented two lectures on Hamiltonian Markov Chain Monte Carlo and its implementation in Stan

Teaching Assistant, Calc 1-3, Differential Eq’ns

University of Colorado Boulder

Boulder, CO

2015-2019

Teaching assistant for Calculus 1-3, Differential Equations, and Psychological Statistics

• Graded, lectured, and published course material including worksheets, quizzes, and study guides
• Led “break-out” computer lab sections accompanying Calculus 3, Differential Equations, and Psychological Statistics which introduced students to Mathematica, MATLAB, and R (respectively)

A note on species richness and the variance of epidemic severity

Journal of Mathematical Biology

2020

Automated Construction of Clear-Sky Dictionary from All Sky Imager Data

Solar Energy

2020

Bayesian Structural Time Series for Behind-the-Meter Photovoltaic Disaggregation

IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)

2020

PhD., Applied Mathematics

University of Colorado

Boulder, CO

2015-2020

Investigated the statistical dynamics of multi-species epidemics and applied Bayesian time series methods to power grid forecasting problems

B.Sc, Physics and Mathematics

University of Massachusetts

Lowell, MA

2009-2013

Double major in Physics and Math, honors thesis title “Parameter Estimation Consistency Between MCMC and the Fisher Information Matrix”