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portfolio
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publications
Subterranean Survivorship and Seasonal Emergence of Laricobius spp. (Coleoptera: Derodontidae), Biological Control Agents for the Hemlock Woolly Adelgid
Published in Environmental Entomology, 2022
Publication from SAIG client Jeremiah Foley as a result of statistical consulting I performed while working there.
Recommended citation: 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). https://doi.org/10.1093/ee/nvab124
Subsewershed SARS-CoV-2 Wastewater Surveillance and COVID-19 Epidemiology Using Building-Specific Occupancy and Case Data
Published in ACS ES&T Water, 2022
Results of COVID-19 wastewater monitoring at Virginia Tech on-campus housing.
Recommended citation: 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. https://doi.org/10.1021/acsestwater.2c00059
Age-dependent ventilator-induced lung injury: Mathematical modeling, experimental data, and statistical analysis
Published in PLOS Computational Biology, 2024
Publication from a Virginia CCI grant focused on ventilator-induced lung injury.
Recommended citation: Quintessa Hay, Christopher Grubb, Sarah Minucci, Michael S. Valentine, Jennifer Van Mullekom, Rebecca L. Heise, Angela M. Reynolds. (2024). "Age-dependent ventilator-induced lung injury: Mathematical modeling, experimental data, and statistical analysis." PLOS Computational Biology. 20(2). https://doi.org/10.1371/journal.pcbi.1011113
talks
Advancing Advancement with Data Science
Published:
This was a brief talk covering collaborative work with Advancement at Virginia tech, aimed towards improving models to predict future volunteership, event attendance, and donations.
Probabilistic Population Synthesis for Decision-Making
Published:
This was a brief talk covering the current status of research into probabilistic population synthesis, intended to be used for pre-conditioning for agent-based models.
Automating Data Clearning, Merging, Processing, and Visualization in Real Time
Published:
This was a poster presentation covering work performed for Virginia Tech during the pandemic as part of their effort to combat Covid-19 outbreaks on campus.
teaching
Integrated Quantitative Science II
Undergraduate course, Virginia Tech, CMDA, 2019
Integrated topics from quantitative sciences that prepare students for advanced computational modeling and data analytics courses. Intermediate linear algebra, regression, differential equations, and model validation.
SAIG Short Courses
Short course, Virginia Tech, SAIG, 2021
Taught the following short courses through SAIG: “Basics of R”, “Data Manipulation in R”, “Graphics in Base R”, and “Graphics in R using ggplot2”.