We focus on mathematical modeling and machine learning, applied to networked systems in biology and medicine.Current projects include development of algorithms and software for both simulation and inference of discrete stochastic systems, uses of machine learning applied to medical data to improve the care of trauma patients, mathematical modeling of brain processes in migraine, unraveling neural communication in learning, inference of network structure of communities of neurons, and mathematical modeling of the process of cell polarization.

Announcements & News

James successfully defended his thesis on 5/12/2021. James will begin his post-PhD career at the University of Colorado at Boulder. Congratulations, James!
Professor Petzold was elected to the National Academy of Sciences. This year she was one of 120 members elected and one of the 59 women elected, the most elected in a single year. Membership in the... Read more
Congratulations to Yun for successfully defending his thesis on 4/21/2021. Yun headed into industry and started at Facebook soon after graduation. Congratulations, Yun!
Professor Petzold has been elected as Fellow of the American Institute for Medical and Biological Engineers (AIMBE). Later this month, Professor Petzold will be inducted as an AIMBE Fellow in a... Read more
On March 5, 2020, Yun successfully passed his preliminary exam!

Recent Publications

accepted_preprint.pdf Jacob, B., Drawert, B., Yi, T-M, & Petzold, L. (2021). An arbitrary Lagrangian Eulerian smoothed particle hydrodynamics (ALE-SPH) method with a boundary volume fraction formulation for fluid-structure interaction. Engineering Analysis with Boundary Elements 128, 274-289.
s12859-021-04065-z.pdf Jiang, R. M., Pourzanjani, A. A., Cohen, M. J., & Petzold, L. (2021). Associations of Longitudinal D-Dimer and Factor II on Early Trauma Survival Risk. BMC Bioinformatics 22, 122
bertsurv-bert_based_survival_models_for_predicting_outcomes_for_trauma_patients.pdf Zhao, Y., Hong, Q., Zhang, X., Deng, Y., Wang, Y., & Petzold, L. (2021). BERTSurv: BERT based Survival Models for Predicting Outcomes for Trauma Patients. To Appear ICDM 2021 Conference Proceedings
journal.pcbi_.1007971.pdf Banavar, S. P., Trogdon, M., Drawert, B., Yi, T-M, Petzold, L. R., & Campas, O. (2021). Coordinating Cell Polarization and Morphogenesis Through Mechanical Feedback. PLOS Comput. Biol. 17(1): e1007971
ml_mof.pdf Wang, Y.*, Zhao, Y.*, Callcut, R., & Petzold, L. (2021). Empirical Analysis of Machine Learning Configurations for Prediction of Multiple Organ Failure in Trauma Patients. To appear ICDM 2021 Conference Proceedings