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Christopher Grubb, Ph.D. is a Research Scientist for the Center for Biostatistics and Health Data Science. He recently graduated from the Statistics Department of Virginia Tech, where his research focused on uncertainty quantification of agent-based models. While at Virginia Tech, he worked at the Statistical Applications and Innovations Group (SAIG) for four years, providing walk-in and longer term consulting to graduate students and faculty, in addition to developing and teaching short courses. He has experience working with both PII and PHI data, and has contributed to work in areas including maternal health outcomes, ventilator-induced lung injury, and COVID-19 wastewater epidemiology. His research interests include agent-based modeling, network visualization and inference, latent variable models, surrogate modeling, and computational statistics.

Quintessa Hay, Christopher Grubb, Sarah Minucci, Michael S. Valentine, Jennifer Van Mullekom, Rebecca L. Heise, Angela M. Reynolds. "Age-dependent ventilator-induced lung injury: Mathematical modeling, experimental data, and statistical analysis." PLOS Computational Biology, (submitted).

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.

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).