Katie Pletz is currently a graduate research assistant in the CEPH Lab. She earned her bachelor’s degrees in mathematics and computer science (with a concentration in data science) from Indiana University and is currently pursuing a Master of Science in biostatistics.
Her work in the lab involves using mechanistic modeling to forecast mosquito relative abundance. Her research interests are in using modeling and simulation to understand how diseases spread and to evaluate the effectiveness of potential interventions. Additionally, Katie has contributed to the development of an onboarding process to introduce new CEPH lab members to programming with C++.
Outside of the lab, Katie has experience using informatics and data science in the clinical trial, pharmaceutical, and higher education industries. She is interested in the application of statistical and data analysis techniques to the biomedical sciences.