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

On, Monday, August 2, 2021, Bruno successfully defended his thesis in Mechanical Engineering. Bruno is staying local and accepted a job at Carpe Data in Santa Barbara. Congratulations, Bruno!
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

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
20-ba1202.pdf Pourzanjani, A. A., Jiang, R. M., Mitchell, B., Atzberger, P. J., & Petzold, L. R. (2021). Bayesian Inference over the Stiefel Manifold via the Givens Representation. Bayesian Anal. 16(2): 639-666
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