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Artificial Intelligence

Ravi Allada

Understanding why we sleep remains one of the most enduring mysteries in science. A core feature of sleep is its homeostatic regulation, i.e., waking experience drives subsequent sleep. Here we are investigating the molecular basis of the sleep homeostat: 1) how does the homeostat sense waking signals? 2) How does the homeostat trigger sleep? 3) ...

Shubhanshu Shekhar

I am broadly interested in developing principled algorithms for addressing practical problems in machine learning and data science. My recent work has focused mainly in the area of anytime valid sequential hypothesis testing, estimation, and change detection.

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 ...

Meng Wang

My research goal is to integrate diverse biomedical data, driving early disease detection, personalized interventions, and effective disease prevention. My lab is interested in developing novel computational and statistical methods to investigate the relationship between wearable sensor data, molecular profiles, and health outcomes in age-related heart and brain diseases, as well as mental health. We ...

Man Zhang

I am a board-certified abdominal radiologist and medical ultrasound researcher with over 15 years of experience in developing and applying innovative ultrasound technologies to enhance patient care. At the University of Michigan (UM) Hospital, I am one of three body interventional radiologists specializing in the treatment of liver tumors using histotripsy. As the Director of ...

Bernadette Bucher

Bernadette Bucher is an Assistant Professor in the Robotics Department at University ofMichigan. She leads the Mapping and Motion Lab which focuses on learning interpretable visual representations and estimating their uncertainty for use in robotics, particularly mobile manipulation. Her work has been recognized by a Best Paper Award in Cognitive Robotics at ICRA 2024 and ...

Steven Soliman

Musculoskeletal Ultrasound Detection and Mechanistic Evaluations of a Type 2 Diabetes (T2D)- and Prediabetes (PreD)-Related Skeletal Muscle Abnormality. This research interest originated during my fellowship in MSK radiology in 2009. I hypothesized that increased skeletal muscle echo intensity (hyperechoic) observed in PreD and early T2D could serve as a simple, noninvasive, nonionizing, and inexpensive imaging ...

Egide Abahuje

We are conducting a project to deploy Natural Language Processing to analyze clinicians' progress notes from Electronic Health Records and identify healthcare-related features that determine Failure To Rescue (Death after a major complication) among cardiac surgery patients. Another project that I would like to highlight is the project where we assessed the relationship between intraoperative ...

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 ...

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Egide Abahuje

Assistant Professor of Cardiac Surgery, Medical School

Steven Abney

Associate Professor, Linguistics, LSA School of Information EECS, College of Engineering (Courtesy)

Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Mohamed Abouelenien

Associate Professor, College of Engineering and Computer Science

Peter Adriaens

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

Omar Jamil Ahmed

Assistant Professor, Psychology

Alauddin Ahmed

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Ravi Allada

Professor, Anesthesiology/Michigan Neuroscience Institute

Jacob Allgeier

Associate Professor, Department of Ecology and Evolutionary Biology