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Mathematical and Statistical Modeling

Anne McNeil

Our research aims to address some of the world’s biggest challenges through chemical recycling of waste plastics, developing methods to capture microplastics, measuring microplastics in the environment, and designing redox-active molecules for energy storage applications. Accomplishments and Awards

Xiaosu (Frank) Hu

I'm excited about using machine learning and AI to better understand how the human brain works—and vice versa. I love exploring how we can use deep learning to decode brain signals and uncover patterns in things like pain or language processing. At the same time, I’m fascinated by how comparing brain activity with AI models ...

Mark Moldwin

I am the PI of NASA's Geospace Dynamics Constellation (GDC) Mission's NEMISIS magnetometer. GDC consists of six spacecraft to measure the energy flow from the magnetosphere to the ionosphere. This energy creates structure in the upper atmosphere that can disrupt communication and navigation signals, damage power grids, and decrease satellite lifetimes. My goal is to ...

Gideon Bradburd

I am an evolutionary biologist interested in understanding the causes and consequences of genetic variation across time and space. One of the fundamental goals of evolutionary biology is to quantify patterns of genetic diversity within and between populations to enable the study of the processes that shape them. However, the development of key statistical methods ...

Mark Burns

Many biological assays require detection and quantification of chemical species in aqueous solutions. Dr. Burns has worked to develop inexpensive and easy ways to fabricate sensors that can detect proteins, small molecules, and ions in biological fluids such as blood, urine, and saliva. The sensors use a combination of electrochemical reactions, steric hinderance, and optical ...

Brian Kiedrowski

Dr.Kiedrowski’s research focuses on the development of methods related to understanding the interactions and transport of particle radiation (neutrons, photons, and charged particles) within matter. To solve these problems, he employs both traditional numerical linear algebra methods and Monte Carlo simulations and apply data-driven approaches for the purpose of acceleration and uncertainty quantification. Specific projects ...

Silas Alben

I develop and use optimization algorithms (Newton-based, gradient-based, and genetic algorithms) to understand problems in fluid and solid mechanics with applications to biology. Examples of optimally efficient snake locomotion

James Wagner

James Wagner, Ph.D. is a Research Professor at the University of Michigan’s Survey Research Center (UM-SRC). His research is in the area of survey nonresponse and methods for addressing it during data collection. He has co-authored a book on adaptive survey design — which is a set of methods that aims to optimize the recruitment ...

Peter Seiler

I work in the area of robust control theory which focuses on the impact of model uncertainty on systems design. My research mainly focuses on the use of models for the design of control systems. This has applications to the design of autopilots on aircraft, the operation of wind turbines, and other engineered systems. The ...

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Keith Aaronson, MD

MD, Collegiate Professor of Cardiovascular Medicine, Professor of Internal Medicine, Michigan Medicine Cardiology Clinic | Cardiovascular Center

Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Mahesh Agarwal

Associate Professor, Mathematics and Statistics, College of Arts, Sciences, and Letters

Hyun-soo Ahn

Professor, Technology and Operations, Ross School of BusinessSupply Chain Management

Mojtaba Akhavan-Tafti

Research Faculty, CLaSP

Raed Al Kontar

Associate Professor, Industrial and Operations Engineering, College of Engineering

Fadhl Alakwaa

Research Investigator, Neurology

Silas Alben

Professor, Mathematics

Jacob Allgeier

Associate Professor, Department of Ecology and Evolutionary Biology