by U-M MICDE | May 16, 2024

Krishnan Mahesh and his team are working on developing simulation methods that are flexible enough to handle real-world engineering problems and accurate enough to reliably simulate the complicated details of turbulence. As a result, we are now capable of simulating...
by Zoe Myatt | Nov 28, 2023

I am a theoretical astrophysicist studying the origins and structure of galaxies in the universe. My research focuses on developing more realistic gasdynamics simulations, starting with the initial conditions that are well constrained by observations, and advancing...
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

Developing incremental tensor decompositions for processing large-scale multidimensional data. Bayesian inference and machine learning using tensor methods.
by U-M MICDE | Oct 2, 2023

Radiative transfer in paleoclimate models
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...
by U-M MICDE | Sep 26, 2023

I am working on creating equity-aware natural hazard risk models to quantify the drivers of disproportionate risk. Because current models only quantify risk for the built environment, my research studies risk in terms of both social and physical vulnerabilities.
by U-M MICDE | Sep 5, 2023

Prof Shen’s research interest is in Biomedical AI, which lies in the interdisciplinary areas of machine learning, computer vision, signal and image processing, medical image analysis, biomedical imaging, and data science. She is particularly interested in...
by Eszter Haseli | Jul 28, 2023

My research interests are in the areas of programming languages, formal methods, and software engineering. In particular, I’m interested in developing intelligent programming systems that allow programmers and non-programmers to create reliable software easily in a...