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AI in Science Curriculum Committee

Joseph (Yossi) Cohen

Yossi Cohen received his Bachelor’s, Master’s, and Ph.D. degrees in Mechanical Engineering from the University of Michigan. His thesis explored industrial artificial intelligence concepts for fault diagnosis, advancing prognostics and health management research for complex manufacturing systems. His research interests include human-centered augmented intelligence, responsible artificial intelligence in industry, and sustainable manufacturing. As a Schmidt ...

Yutong Wang

Yutong Wang’s primary research interest is in developing theory for modern machine learning methods with motivation for providing a rigorous foundation for its use in science and engineering. He is currently working on applying deep learning to solving inverse problems in reconstructive spectroscopy motivated by applications in wearable devices. Areas he has worked included over-parametrized ...

Lu Wang

Lu’s research is focused on natural language processing, computational social science, and machine learning. More specifically, Lu works on algorithms for text summarization, language generation, argument mining, information extraction, and discourse analysis, as well as novel applications that apply such techniques to understand media bias and polarization and other interdisciplinary subjects. Awards and Accomplishments

Ambuj Tewari

My research group is engaged in fundamental research in the following areas: Statistical learning theory: We are developing theory and algorithms for predictions problems (e.g., learning to rank and multilabel learning) with complex label spaces and where the available human supervision is often weak. Sequential prediction in a game theoretic framework: We are trying to ...

William Currie

Bill Currie studies how physical, chemical, and ecological processes work together in the functioning of ecosystems such as forests and wetlands.  He studies how human impacts and management alter key ecosystem responses including nutrient retention, carbon storage, plant species interactions, and plant productivity.   Dr. Currie uses computer models of ecosystems, including models in which he ...

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Joseph (Yossi) Cohen

Schmidt AI in Science Alumni, Michigan Institute for Data & AI in Society

William Currie

Professor of Environment and Sustainability, School for Environment and Sustainability

Professor, Program in the Environment, School for Environment and Sustainability and College of Literature, Science, and the Arts

Ambuj Tewari

Professor of Statistics, College of Literature, Science, and the Arts

Professor of Electrical Engineering and Computer Science, College of Engineering

Lu Wang

Associate Professor of Electrical Engineering and Computer Science, College of Engineering

Yutong Wang

Schmidt AI in Science Fellow Alumni, Michigan Institute for Data & AI in Society

Assistant Professor, Illinois Institute of Technology