About DCMB

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Advancing Computational Methods & Tools for Medical Breakthroughs

We lead data science research to accelerate basic and translational biomedical research.

DCMB Vision

The vision of the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics (DCMB) is to advance the understanding of biological mechanisms and to accelerate biomedical discovery and translational research. Learn more about DCMB Research.

DCMB supports biomedical science through the development of powerful computational and biomedical data science methods, including novel Artificial Intelligence (AI) and Machine Learning (ML) approaches.

DCMB trains and mentors the next generation of innovators and leaders in this field, in an interdisciplinary research culture where everyone is valued.

 

DCMB Newsletter

Stay informed and get the latest information about our latest news, seminars, events, and much more.

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Bioinformatics Graduate Programs

In DCMB’s Bioinformatics Graduate Program (BGP), we train the next generation of innovators and leaders in this field. We offer well established PhD and MS training programs that are tailored to each trainees’ interests and goals. We constantly review our curriculum to offer courses in leading-edge knowledge and expertise.

Our students can benefit from two NIH T32 pre-doctoral training grants: The Biomedical Informatics and Data Science Training Program (BIDS-TP; NIGMS) and the Proteogenomics in Cancers Training Program (NCI).

The Bioinformatics Program has graduated over 140 PhD students and 233 Master’s students. These alumni are now leading researchers in organizations such as Memorial Sloan Kettering Cancer Center, the Mayo Clinic, Ambry Genetics, Thermo Fisher Scientific, Microsoft and Google. On the academic professional path, they are at Vanderbilt University, the National University of Singapore, John’s Hopkins University, and, of course, the University of Michigan.

Learn more about the Bioinformatics Graduate Programs

Center for Computational Medicine & Bioinformatics

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Brian Athey, Gilbert Omenn, and Holden Thorp (Editor-in-Chief, Science Journals)

The Center for Computational Medicine and Bioinformatics (CCMB) provides a foundation for developing new and innovative research directions by combining expertise across schools, departments, and areas of research. 

The Center gathers over 140 faculty members from a variety of disciplines including bioinformatics, biomedical data science, and translational precision health informatics. These faculty are available to mentor our trainees to develop their career in research. 

Learn more about CCMB

DCMB FACULTY

DCMB faculty are passionate contributors to the field, and national leaders in their sub-disciplines, with diverse experience spanning the bioinformatics and clinical research continuum.

LEADERSHIP

Learn more about the department’s leadership.

CCMB SEMINAR SERIES

Join the CCMB Seminar Series on bioinformatics topics, Wednesdays at 4PM EST.

Message from the Chair

The Department of Computational Medicine and Bioinformatics (DCMB) has the vision, programs, facilities, faculty, and top-notch students to transform lives and push the boundaries of science. The U-M and Ann Arbor are unique and special, making DCMB the place to be!

Brian Athey, PhD
Michael Savageau Legacy Professor & Chair, Department of Computational Medicine & Bioinformatics, Professor of Psychiatry
DCMB chair in suite and tie speaking at the podium

DCMB Leadership Team

Brian Athey

Brian D Athey, PhD

Michael Savageau Legacy Professor
Chair, Department of Computational Medicine and Bioinformatics
Professor of Computational Medicine and Bioinformatics
Professor of Psychiatry
Medical School
Gilber Omenn

Gilbert S Omenn, MD, PhD

Harold T Shapiro Distinguished University Professor of Medicine
Professor of Computational Medicine and Bioinformatics
Professor of Internal Medicine
Professor of Human Genetics
Medical School
Professor of Environmental Health Sciences
School of Public Health
Alla Karnovsky

Alla Karnovsky, PhD

Program Director
Bioinformatics Master's Program
Associate Professor of Computational Medicine and Bioinformatics
Medical School
portrait of Margit Burmeister

Margit Burmeister, PhD

Associate Chair, Department of Computational Medicine and Bioinformatics
Program Director, Bioinformatics Graduate Program
Professor of Human Genetics
Professor of Psychiatry
Research Professor, Michigan Neuroscience Institute and Professor of Computational Medicine and Bioinformatics
Medical School
Maureen Sartor

Maureen Sartor, PhD

Co-Director
Bioinformatics Graduate Program
Professor of Computational Medicine and Bioinformatics
Medical School
Professor of Biostatistics
School of Public Health
A. photo of Alan Philipot

Alan Phlipot

Chief Department Administrator

Upcoming Events

See Upcoming Events

Summer Deep Reading on Deep Learning (Transformer Circuits)

Matthew O'Meara, PhD and his lab are hosting what we're calling Summer Deep Reading on Deep Learning. This year it will be a multi-part journal club on Transformer Circuits. We're going to start with Grokking and touch on lazy/rich training regimes, thermodynamics and phase transitions. The aim is to make the math accessible while getting into advanced topics.
Event runs May 22, 2026 - July 17, 2026

Bioinformatics PhD Defense: Xiaotong Yang

Xiaotong Yang will present a Bioinformatics PhD Defense titled "Pregnancy as a Stress Test: EHR-Based Deep Learning and Epidemiologic Approaches to Maternal and Offspring Health Trajectories"

CCMB Tuesday Popup: Biomedical Gen AI Learning Community

A student-led space to explore the latest GenAI tools, share AI-augmented research workflows, and think critically about how we stay "human" in an increasingly automated world. Open to anyone in the bioinformatics and biomedical community.

CCMB Tuesday Popup: Omics Office Hours

An informal, bring-your-real-problems session bridging clinical data and computational expertise. Whether you're a clinician with messy omics data or a bioinformatician looking for meaningful problems to solve, this one's for you.

Summer Deep Reading on Deep Learning (Transformer Circuits)

Matthew O'Meara, PhD and his lab are hosting what we're calling Summer Deep Reading on Deep Learning. This year it will be a multi-part journal club on Transformer Circuits. We're going to start with Grokking and touch on lazy/rich training regimes, thermodynamics and phase transitions. The aim is to make the math accessible while getting into advanced topics.
Event runs May 22, 2026 - July 17, 2026