CV

Education

• PhD in Statistics, Virginia Tech, July 2023 (expected)
• B.S. in Mathematics, Millersville University, 2016

Work experience

• Lead Collaborator, Statistical Applications and Innovations Group (May 2017 - May 2021). Helped approximately 100 graduate students and university faculty with statistics important for their masters’ theses, dissertations, or publications. Taught several short courses (virtual and in-person) on base R graphics, R graphics using ggplot2, categorical data analysis, and regression and ANOVA. I also worked on a number of special long-term projects and/or grants:
  1. Lung Health Sensors (05/2021 - 05/2022). Fit random-effcts linear models and performed sensitivity analysis for a grant project focused on finding a ventilator that inflicts less lung damage from long-term use.
  2. VT Covid-19 Wastewater Monitoring (09/2020 - 05/2021). Automated the gathering and merging of various data sources that updated daily, twice weekly, and weekly, while remaining HIPAA compliant. Investigated the relationship between virus shed in wastewater and outbreaks within university dormitories using generalized linear mixed effects models.
  3. VT Advancement (12/2019 - 06/2020). Developed a codebase to automate data cleaning, feature synthesis, modeling, prediction, and report generation with the end goal of highlighting university alumni more likely to engage (donate to university, attend university events, etc) so that resources could be allocated more effectively.
• Data Science Intern, Microsoft (Summer, 2019). Implemented deep feature synthesis for a then-unreleased product that became Power BI’s Cognitive Services, an AutoML solution designed for corporations with little to no statistical or machine learning knowledge.
• Data Science Intern, Microsoft (Summer, 2018). Used market basket analysis to investigate the predictive power of transactional history within a recommender system for Xbox Store. Was required to learn a proprietary query language (SCOPE) that evolved into U-SQL.

Publications

Subsewershed SARS-CoV-2 Wastewater Surveillance and COVID-19 Epidemiology Using Building-Specific Occupancy and Case Data

Alasdair Cohen, Ayella Maile-Moskowitz, Christopher Grubb, Raul A. Gonzalez, Alessandro Ceci, Amanda Darling, Laura Hungerford, Ronald D. Fricker Jr., Carla V. Finkielstein, Amy Pruden, and Peter J. Vikesland. (2022). "Subsewershed SARS-CoV-2 Wastewater Surveillance and COVID-19 Epidemiology Using Building-Specific Occupancy and Case Data." ACS ES&T Water.

Subterranean Survivorship and Seasonal Emergence of Laricobius spp. (Coleoptera: Derodontidae), Biological Control Agents for the Hemlock Woolly Adelgid

Jeremiah R Foley, IV, Thomas J McAvoy, Christopher Grubb, Albert E Mayfield, III, Brian Strahm, Scott M Salom. (2022). "Subterranean Survivorship and Seasonal Emergence of Laricobius spp. (Coleoptera: Derodontidae), Biological Control Agents for the Hemlock Woolly Adelgid." Environmental Entomology. 51(1).

Talks

Automating Data Clearning, Merging, Processing, and Visualization in Real Time

February 03, 2023

Talk at 2023 Conference on Statistical Practice, San Francisco, USA

Probabilistic Population Synthesis for Decision-Making

August 12, 2021

Talk at 2021 Joint Statistical Meetings, Virtual

Advancing Advancement with Data Science

February 19, 2021

Talk at 2021 Conference on Statistical Practice, Virtual

Teaching

Integrated Quantitative Science II

SAIG Short Courses