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Informatics

Anders Kiledal

I use omics techniques to study Lake Erie cyanobacterial harmful algal blooms (cHABs) and work with collaborators from the medical school to study the effects of graft versus host disease on intestinal microbes following bone marrow transplant. One of my major projects is the Great Lakes Atlas of Multi-omics Research (GLAMR) database, which seeks to ...

Anne Jonas

My research examines the social structures that help shape the forms and content of data science, and the use of data science in social spheres and its implications. In my ethnographic and participatory-design based work, I have explored: 1) the motivations behind the move to use data science in online fraud detection and the potential ...

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 ...

Alex Lam Tsoi

* Causal Relationship and Shared Genetic Loci between Psoriasis and Type 2 Diabetes through Trans-Disease Meta-Analysis. J Invest Dermatol.141(6): 1493-1502, 06/2021. This study investigates the genetic overlap and causal relationships between psoriasis and type 2 diabetes (T2D). Using trans-disease meta-analysis (TDMA), we identified shared genetic loci that suggest a potential common pathophysiological pathway between the ...

Michael Lanham

All of my research and administrative projects have a component that focus on improving usability and decreasing burnout for healthcare providers. We have been able to develop and study several tools that use well-timed and well-designed clinical decision support to improve patient care and decrease risk for patients on high-risk medications. We have been fortunate ...

Q. Vera Liao

With a background in human-computer interaction and AI ethics, Dr. Vera Lioa’s research investigates the risks of emerging AI technologies, and aims to mitigate the risks through responsible development processes and human-centered design interventions. She is particularly interested in promoting transparency of AI technologies (e.g. through explainability, uncertainty and risk communication, and sound evaluation) to ...

Kurt Skifstad

Dr. Skifstad’s focus is on tracking the evolving impact of AI on business models, the entrepreneurial ecosystem, and innovation. He was one of the first PhDs to graduate from the U-M Artificial Intelligence Lab. The first 30 years of his career were spent running venture capital-backed software companies.

Karthik Ramani

My research focuses on the intersection of translational medicine, device innovation, and clinical trial design, leveraging advanced data science methodologies to improve patient outcomes in nephrology and vascular access. Specifically, I apply machine learning, predictive analytics, and real-world evidence methodologies to enhance the effectiveness of novel medical devices and optimize clinical workflows. My work also ...

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Yasser Aboelkassem

Assistant Professor, College of Innovation and Technology

Andrew J. Admon, MD, MPH, MSc

Clinical Lecturer, Department of Internal Medicine

Carlos Aguilar

Assistant Professor, Biomedical Engineering

Raed Al Kontar

Associate Professor, Industrial and Operations Engineering, College of Engineering

Patricia Alves-Oliveira

Assistant Professor of Robotics, College of Engineering

Sardar Ansari

Assistant Professor, Emergency Medicine

Brian D. Athey

Professor, Computational Medicine and Bioinformatics, Michigan Medicine Internal Medicine and Psychiatry, Michigan Medicine

Veera Baladandayuthapani

Professor, Biostatistics, School of Public Health

Laura Balzano

Associate Professor, EECS, College of Engineering