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Computing

Geoffrey Siwo

My research is driven by a strong belief that abstracting complex scientific problems into computational problems has the power to accelerate the speed of scientific discovery and change who, here and how scientific discoveries are made and translated into practical solutions. I apply this principle to integrate computational techniques such as machine learning and artificial ...

Fernando Garcia

Prof. Garcia’s research is about how the behaviors and interactions of individual particles influence the natural phenomena that we observe in nature. Many natural hazards can be modeled and studied in terms of the system of grains or particles that compose the hazard. Rock avalanches and debris flows are characterized by the collisions of individual ...

Xinyu Wang

My areas of expertise include programming languages, formal methods, software engineering, artificial intelligence, including their applications in data systems and data science. For example, how to derive insights from large amount of data for decision making; how to automatically synthesize SQL queries from high-level specifications (such as examples, natural language, etc.); how to formally verify ...

Hsing-Wen (Edward) Lin

As an observational astronomer, my primary research interests lie in the exploration and characterization of minor planets within and beyond our solar system. My work encompasses: Discovery of Distant Minor Planets: I actively engage in the search for distant minor planet populations that serve as a fossil record of our solar system. These remote bodies ...

Brendon Watson

I am a neuroscientist and psychiatrist with the goal of understanding brain mechanisms related to both neuropsychiatric disease and to healthy brain function. My approach use advanced neuroscientific tools that give insight into neural circuit function in relation behavior. I trained under Drs. Rafael Yuste and Gyorgy Buzsaki and have expertise in cortical and hippocampal ...

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

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 ...

Charles Brooks

Our work is focused on the applications of statistical mechanics to the modeling and simulation of processes in biology, ranging from small molecule discovery for therapeutics and tool molecules, novel free energy methods for drug and protein design, biocatalyst discovery and design, and protein and RNA folding. Data science and machine learning, more specifically, are ...

Rabab Haider

I am an Assistant Professor of Civil and Environmental Engineering at the University of Michigan. My research centers on designing future energy systems under deep decarbonization, and achieving clean, reliable, and affordable energy for All. My research advances methodologies for planning and operating electric power infrastructure using optimization and AI, and leveraging principles of energy ...

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Applications

Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Peter Adriaens

Professor, Civil and Environmental Engineering, College of EngineeringRoss School of BusinessSchool for Environment and Sustainability

Omar Jamil Ahmed

Assistant Professor, Psychology

Silas Alben

Professor, Mathematics

Camille Avestruz

Assistant Professor, Physics, LSA

Veera Baladandayuthapani

Professor, Biostatistics, School of Public Health

Albert S. Berahas

Assistant Professor, Industrial & Operations Engineering

David Brang

Associate Professor, Psychology

Christopher Brooks

Research Assistant Professor, School of InformationDirector, Learning Analytics and Research in the Office of Digital Education & Innovation