Mathematical and Statistical Modeling

Chenhui Shao

The overarching goal of my research is to develop innovative data science methodologies that enable responsive, optimal, and intelligent decision-making in manufacturing. My work focuses on three interconnected research thrusts: (1) online process control and non-destructive evaluation, (2) cost-effective, scalable, and generalizable machine learning, and (3) multi-modal data fusion. By integrating advanced data science tools ...

Karen Smith

I work in algebraic geometry, especially over finite fields. The set of points on an algebraic variety over particular subfields forms an interesting sequence of data sets. Studying it may, I hope, unlock some secrets of algebraic curves or surfaces or higher dimensional objects. I am also interested in connecting statistical forms of AI (machine ...

Jiaqi Li

Dr. Jiaqi Li’s research interests include industrial decarbonization of materials, such as concrete and hydrogen, for civil and energy infrastructure through the use and generation of renewable energy and carbon capture, utilization, and storage. His research uses in-house experimental results to validate modelling work and uses machine learning tools such as regression, clustering, network analysis, ...

Bingkai Wang

My research interests are in causal inference, randomized clinical trials, clustered data and their interactions with infectious disease research. In my research, data analysis is the core, and I use semi-parametric models and machine learning algorithms to draw statistical inference, make predictions, and quantify uncertainties.

David Gerdes

I study the Solar System’s small-body populations, objects that are cosmic leftovers from the protoplanetesimal disk from which the Earth and the other planets formed. These populations range from near-Earth asteroids, to the main asteroid belt between Mars and Jupiter, to more distant populations such as Jupiter and Neptune Trojans, Kuiper Belt objects, and beyond. ...

Efe Yamac Yarbasi

Dr. Yarbasi’s expertise lies in uncertainty quantification for complex systems, verification and validation (V&V) processes, robotics, energy systems modeling within smart building infrastructures, and systems engineering. Prior to joining U-M, he collaborated extensively with government and industry on a range of projects, including the development of a surgical endoscopy robot and the energy optimization of ...

Suraj Rampure

As teaching faculty, Suraj spends his time teaching students how to think critically with data. He teaches students the theoretical foundations of data science, from empirical risk minimization, linear algebra, and probability, to more practical aspects, from tabular data manipulation and web scraping to model building and cross-validation, with an emphasis on implementation in Python. ...

David Kwabi

We study and develop electrochemical devices containing organic materials for applications in grid energy storage and chemical separations (e.g., CO2 capture and nitrogen recovery). A critical aspect of our work involves discerning the impact of chemical reactions as well as mass and charge transport processes on device-level performance metrics. To accomplish this goal, we often ...

Angela Violi

The Violi Lab carries out cross-disciplinary research at the intersection of nanoscience and data science. By integrating machine learning techniques with molecular simulations, the team strives to unravel fundamental scientific principles while tackling practical problems in material science, healthcare, and environmental sustainability. Their methodological toolkit encompasses various cutting-edge approaches: active learning and Bayesian experimental design ...

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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 Business Supply 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

Jacob Allgeier

Associate Professor, Department of Ecology and Evolutionary Biology

Sardar Ansari

Assistant Professor, Emergency Medicine