Christopher Mitchell, PhD Appointed as Assistant Professor in the Department of Quantitative and Qualitative Health Sciences
is pleased to announce the appointment of Christopher Mitchell, PhD, as an Assistant Professor in the Department of Quantitative and Qualitative Health Sciences.
Mitchell is a mathematician and epidemiological modeling expert with a focus on infectious disease dynamics. His interdisciplinary research includes vector-borne diseases, healthcare-associated infections and Bayesian methods for parameter estimation in epidemic models. He earned his PhD in Mathematics from The University of Texas at Arlington in 2016, and completed postdoctoral training in the Division of Epidemiology at the University of Utah, where he conducted research on interpreting relative risk of Clostridioides difficile infection among antibiotic-exposed patients. Mitchell continued his research while serving as Assistant Professor in the Department of Mathematics at Tarleton State University.
His research portfolio includes innovative mathematical approaches to modeling infections such as Chagas disease, Zika and Onchocerciasis. He is currently working on two research projects investigating the dynamics of Eastern Equine Encephalitis on avian species and developing Bayesian techniques for parameter inference in epidemic systems. Mitchell has secured multiple research grants and published in respected journals including the Bulletin of Mathematical Biology, Infectious Disease Modeling and PLOS One.
Mitchell is an active member of several professional organizations that enhance his contributions to the field of mathematical epidemiology. As a member of the Society for Industrial and Applied Mathematics (SIAM), he regularly participates in the SIAM Life Sciences Annual Meeting, presenting his latest research on modeling infectious diseases. His membership in the Society for Mathematical Biology (SMB) connects him with an international community of researchers applying mathematical approaches to biological systems. Additionally, Mitchell is a member of the Models of Infectious Disease Agent Study (MIDAS) Network, collaborating with other modelers to develop computational and statistical approaches for improving the nation's ability to prepare for, detect and respond to infectious disease threats.
Mitchell brings substantial experience mentoring undergraduate and graduate researchers, having supervised numerous award-winning student projects at scientific conferences nationwide. He is dedicated to training the next generation of quantitative public health scientists and teaches courses in mathematical modeling, dynamical systems and statistical methods."