Dr. Bourdin's research focusses on reservoir engineering, defect mechanics, optimal design, and i... Bio: Marta D’Elia is a Principal Member of the Technical Staff at Sandia National Laboratories...MICDE / AIM Seminar: Blaise Bourdin, PhD, Professor of Mathematics & Statistics, McMaster University
MICDE Seminar: Marta D`Elia, PhD, Principal Member of the Technical Staff at Sandia National Laboratories, California
New powerful computational framework will help understand aggressive behaviors of cancer cells
January 20, 2022
Helmholtz Information and Data Science Academy Visiting Researcher Grant
January 14, 2022
Postdoctoral position in neuroscience in the Renart Lab, Champalimaud Foundation, Portugal
January 13, 2022
The Michigan Institute for Computational Discovery and Engineering (MICDE) focuses on the development and innovative use of mathematical algorithms and models on high performance computers (HPC) to support basic and applied research and development across a wide spectrum of disciplines in science and engineering.
MICDE is proud to announce the recipients of the 2021 MICDE graduate fellowships. “This year, MICDE awarded fellowships in a wide array of disciplines ranging from chemistry to biostatistics and interdisciplinary mathematics to applied physics,” said Krishna Garikipati, MICDE director and professor of mechanical engineering and mathematics. “Engineering is also well represented with fellows focused on disciplines such as aerospace, biomedical, civil and environmental, climate and space, industrial and operations, materials science, mechanical, and naval architecture and marine engineering.” The fellowships, which carry a $4,000 stipend, are meant to augment other sources of funding and are available to students in our three educational programs. Visit our fellowship page to learn more about the program and the fellows.
The Michigan Institute for Computational Discovery and Engineering (MICDE) announced the awardees of the 2021-2022 round of Catalyst Grants. This year the program focused on AI for physically-based biomedicine, quantum computing, convergence of natural hazards with economic dislocation, and computational integration across scales and disciplines in biology.
The Master of Science (MS) in Computational Epidemiology and Systems Modeling program trains students to become highly skilled epidemiologists who can understand and analyze public health problems with mathematical and statistical models.
The degree is awarded by the University of Michigan’s Rackham Graduate School through the Department of Epidemiology in the University of Michigan School of Public Health.
Scott Lempka is an Assistant Professor in the Department of Biomedical Engineering and director of the Neuromodulation Laboratory. The Neuromodulation Lab focuses on clinical neurostimulation (a.k.a. neuromodulation) therapies, such as…
