by U-M MICDE | Oct 21, 2024
My research focuses on understanding rotator cuff tendon tear growth mechanics using full-volume strain-probing methods and data-driven modeling. By comparing intact and torn tendons, I have shown that shear strains are high at the boundaries of attached/detached...
by U-M MICDE | Oct 9, 2024
The Neural Engineering in Epilepsy Lab leverages computational modeling and data science to better understand and control epilepsy. My research utilizes a dynamical model of bursting to study seizures. Right now, I am focused on investigating propagation, suppression,...
by U-M MICDE | Oct 5, 2024
My research focuses on deep learning in healthcare and medicine. Specifically, I am interested in self-supervised learning, computer vision, and multimodal machine learning, with a particular emphasis on disease diagnosis and prognosis. Currently, I am working on...
by U-M MICDE | Oct 3, 2024
Developing advanced machine learning algorithm to identify multi-omic biomarkers from biomaterial sensors for predicting Type 1 Diabetes onset
by U-M MICDE | Sep 3, 2024
The potential for quantum computers (QC) to solve complex problems exponentially faster than classical computers promises revolutionary advancements in data analysis, optimization, and encryption. Many problems fundamental to the disciplines of significance to society...
by U-M MICDE | Apr 3, 2024
My main research interests include: Hamiltonian and Lagrangian mechanics, gradient flows and nonlinear and optimal control both in the smooth and discrete settings. I am interested in applications of gradient flows to image registration and the application of optimal...
by Zoe Myatt | Nov 21, 2023
George Alter is Research Professor at ICPSR and the Population Studies Center and Professor of History at the University of Michigan. His research grows out of interests in the history of the family, demography, and economic history, and recent projects have examined...
by U-M MICDE | Oct 25, 2023
My research focuses on statistical genomics and computational statistics. I am interested in developing statistical and computational methods for the analysis of large-scale biological datasets generated by modern high-throughput technologies such as next-generation...
by U-M MICDE | Oct 3, 2023
Joshua Pickard’s research is centered on higher-order network-based dynamical systems, the application of control theory to biological systems, and the development of mathematical models for chromatin architecture and gene regulation. Joshua’s present work...
by U-M MICDE | Oct 2, 2023
My research focuses on Scientific Machine Learning and Uncertainty Quantification for complex systems in science, engineering, and biology. Primary focuses include Inverse Reinforcement Learning, Bayesian Inference and their applications cancer cell behavior study in...
