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 March 5, 2020, Yun successfully passed his preliminary exam!
At the end of Winter '20, Hamed successfully defended his PhD thesis in Mechanical Engineering. Hamed will be joining Gilead Sciences in Foster City, California. Congratulations, Hamed!
Our proposal "Fluctuating sodium in the nervous system as the root cause of fluctuating brain function", in collaboration with Dr. Michael Harrington of Huntington Medical Research Institutes in... Read more
At the end of Fall '19, Brian successfully defended his PhD thesis in Computer Science. After graduation, Brian started his career at Madrona Venture Group in Seattle, WA. Congratulations, Brian!
On November 22, 2019, Professor Petzold was invited to UCLA's Institute for Quantitative and Computational Biosciences where she gave a seminar titled "Cell Polarization and Growth in Yeast Mating... Read more

Recent Publications

journal.pone_.0233640.pdf Wu, T. B., Orfeo, T. Moore, H. B., Sumislawski, J. J., Cohen, M. J., & Petzold, L. R. (2020). Computational Model of Tranexamic Acid on Urokinase Mediated Fibrinolysis. PLoS ONE 15(5):e0233640
peng2020_article_multiscalemodelingmeetsmachine.pdf Peng, G. C. Y., Alber, M., Tepole, A. B., Cannon, W. R., De, S., Dura-Bernal, S., Garikipati, K., Karniadakis, G., Lytton, W. W., Perdikaris, P., Petzold, L. & Kuhl, E. (2020). Multiscale Modeling Meets Machine Learning: What Can We Learn?. Arch. Computat. Methods Eng. 2020
fncom-14-00004.pdf Ghaffari, H., Grant, S. C., Petzold, L. R., and Harrington, M. G. (2020). Regulation of CSF and Brain Tissue Sodium Levels by the Blood-CSF and Blood-Brain Barriers During Migraine. Front. Comput. Neurosci. 14:4
Zhao, Y., Jiang, R., Xu, Z., Guzman, E., Hansma, P. K., & Petzold, L. (2020). Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings. To Appear, BioKDD 2020.
mea_dl.pdf Zhao, Y., Guzman, E., Audouard, M., Cheng, Z., Hansma, P. K., Kosik, K. S., & Petzold, L. (2019). A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings. Proceedings of the 2019 International Conference on Data Mining