Oleg Gnedin

Oleg Gnedin

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...
John Barker

John Barker

We publish computer codes for computational chemical reaction kinetics calculations. Our long-term aim (not yet achieved!) is to develop predictive tools that are as good as experiments. Toward that end, we use statistical rate theories to predict thermal rate...
Gretchen Keppel-Aleks

Gretchen Keppel-Aleks

Our research group uses atmospheric and remote sensing observations to develop an understanding of processes that govern the exchange of carbon among reservoirs in the atmosphere, oceans, and terrestrial ecosystems. We employ observations to test and improve...
George Alter

George Alter

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...
Charles Antonelli

Charles Antonelli

Dr. Charles Antonelli is a High Performance Computing Consultant with LSA Information Technology. Dr. Antonelli’s recent efforts while in the Department of Civil and Environmental Engineering at U-M include designing the real-time, parallel, automated data...
Stefanus Jasin

Stefanus Jasin

Predictive and prescriptive business analytics, with a focus on developing optimization algorithms for solving complex, large-scale, analytics problems. Applications including revenue management and pricing, assortment optimization, marketing analytic, supply chain...
Hui Jiang

Hui Jiang

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...
Anne Draelos

Anne Draelos

My research goal is to understand computation in large-scale neural circuits through adaptive perturbations and real-time inference. My lab develops scalable and efficient machine learning algorithms to adaptively build models of neural and behavioral data online, and...
Ada Eban-Rothschild

Ada Eban-Rothschild

Eban-Rothschild Lab focuses on uncovering the neuronal circuitry that governs natural behaviors. Utilizing state-of-the-art deep learning algorithms, we are able to detect, track, and classify behavioral patterns in animals, enabling high-throughput and intricate...
Harish Ganesh

Harish Ganesh

Prof. Ganesh’s study fluid flow problems of relevance using state-of-the-art experimental techniques such as particle image velocimetry, particle tracking velocimetry, X-ray densitometry and X-ray computed tomography. Acquisition and processing of large noisy...