Gilbert S. Omenn Department of Computational Medicine & Bioinformatics
Developing Innovative Computational Methods and Tools to Advance Biomedical Research

We welcome students from a variety of backgrounds in four graduate programs and offer many research opportunities.

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$25 million gift to DCMB builds U-M’s leadership in health care AI

Recognizing the expanding impact on health and health care of computational medicine, artificial intelligence and bioinformatics, Gilbert S. Omenn and his wife, Martha A. Darling, have made a gift of $25 million to the Medical School’s Department of Computational Medicine and Bioinformatics (DCMB).

With the gift, the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics becomes the first named department at U-M and one of the first named medical school basic science departments in the nation.

Article in The Record, October 17, 2024

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Gilbert S. Omenn Department of Computational Medicine & Bioinformatics
Room 2017, Palmer Commons
100 Washtenaw Avenue
Ann Arbor, MI 48109-2218
About Us

Learn more about our leadership, faculty, DEI, and more.

EDUCATION

Four degree programs give our trainees a strong foundation for a career in academia or industry.

RESEARCH

Our computational and bioinformatic research is innovative, collaborative and cross-disciplinary.

PEOPLE

Meet our faculty, scientists, staff, and students.

DEI

Data science impacts society and we respond to this responsibility.

GIVING

Support our Graduate Students and Annual Omenn Lecture.

CCMB Faculty taking a group photo at the August 2024 CCMB Faculty Meetin The Center for Computational Medicine & Bioinformatics

Our interdisciplinary center is the home of innovative research and cross-campus collaboration. Here, experts from across schools and departments work together to advance biomedical knowledge and its therapeutic applications.

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  • Gil Omenn and Martha Darling
    News Release
    $25M gift builds U-M’s leadership in health care AI
    Donation leads to first named basic science department at Medical School
    VIDEO: DCMB in less than 4 minutes

    Learn more about the Computational Medicine and Bioinformatics Department in this short video.

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    CAREER-ORIENTED GRADUATE PROGRAMS

    Our department offers four degrees: PhD, Master's, Accelerated Master's and Dual Degree. It is supported in part by two NIH Training Grants.

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    Help our trainees become the innovators of the cures and technologies of tomorrow.

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    Upcoming Events See Upcoming Events
    CCMB Seminar: Indika Rajapakse, PhD
    "The Mesmerizer” presented by Indika Rajapakse, PhD
    Tools and Technology Seminar: Sion Kim
    "Identifying Chromatin Jets in Loop Extrusion and Replication Processes" presented by Sion Kim (DCMB)
    CCMB Seminar: Chase Weidmann, PhD
    Join the U-M CCMB/DCMB Seminar Series on bioinformatics, Wednesdays at 4 PM EST, Palmer Commons. Featuring guest speakers, sponsored by Computational Medicine & Bioinformatics.
    Tools and Technology Seminar: James Boyko
    "Correlated character evolution with hidden Markov models and applications in antibiotic resistance evolution" presented by James Boyko (MIDAS)
    CCMB Seminar: Morgan Levine, PhD
    Join the U-M CCMB/DCMB Seminar Series on bioinformatics, Wednesdays at 4 PM EST, Palmer Commons. Featuring guest speakers, sponsored by Computational Medicine & Bioinformatics.
    Tools and Technology Seminar: Hye Kyong Kweon
    “Exploring the Potential of Sulfoproteomics: Overcoming Challenges and Applying to Large-Scale Proteomics” presented by Hye Kyong Kweon (Chemistry)
    Tools and Technology Seminar: Yue Zhao
    “CEDA: integrating gene expression data with CRISPR-pooled screen data identifies essential genes with higher expression” presented by Yue Zhao (DCMB)
    CCMB Seminar: Todd Hollon, PhD
    Join the U-M CCMB/DCMB Seminar Series on bioinformatics, Wednesdays at 4 PM EST, Palmer Commons. Featuring guest speakers, sponsored by Computational Medicine & Bioinformatics.
    Tools and Technology Seminar: Liyue Shen
    “Enhance Efficiency of Diffusion-based Generative Models for Solving Inverse Problems via Posterior Sampling” presented by Liyue Shen (Electrical Engineering & Computer Science)
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    Classroom amphitheater with instructor and students MAKING AN IMPACT WITH INNOVATION
    12+
    Years Leading Our Discipline
    140+
    PhD Graduates
    2
    NIH-funded Training Grants
    49
    Faculty Members