DCMB Education
A female DCMB student presents at the podium

Join Our Quest for Life-Changing Information

Are you geeked up about the power of data? Do you want to lead the next medical revolution? In our Department, you will never stop exploring how to extract the information that matters.

Exploring the Frontier of Research: Bioinformatics Graduate Program

Bioinformatics combines rigorous coursework with research opportunities to give students a unique understanding that bridges knowledge between wet and dry labs. Students in the U-M Medical School Department of Computational Medicine & Bioinformatics study closely with the leaders as they engage in collaborations across campus. 

At every level, our students can take courses in advanced math, mathematical modeling, statistics, computer programming, machine learning and informatics, as well as comprehensive courses in introductory biology, genomics, proteomics, clinical informatics, environmental health and many more.

Bioinformatics Graduate Programs
PhD Program

Prepare for a career in industry, teaching or academic research with comprehensive training in biology, advanced theory and methodology in bioinformatics.

Dual Degree Program

The dual PhD/Master’s or Master’s/Master’s degree program allows PhD or MS students in another field to also study for an MS in bioinformatics.

MS Program

With an MS you can do science in industry or pursue a career in consulting, research support or administration positions in governmental offices, and academia.

Accelerated MS Program

Save time and money by beginning our Master’s Degree Program as a junior and senior undergraduate student, earning your MS after only one year at the graduate level.

Bioinformatics Tracks & Alignment with T32 Programs

Summary of the four possible tracks and subtracks/concentrations (example lab PIs):

  • Genomics/transcriptomics/regulomics (e.g. Kim, Athey, Parker, Boyle, Sartor, Burmeister, Welch, Rao, Freddolino, J. Liu, Willer, Rajapakse, Kitzman, Chinnaiyan, Burant, Moran, Au)
  • Genetics/evolution (e.g. Jun Li, Mills, Kidd, Au, Boehnke, Speliotes, Zoellner, Wittkopp, Dick, J. Zhang)
  • Machine learning/omics predictions (e.g. Guan, J. Liu, Ye, Baladandayuthapani, Kretzler, Sartor, Dinov, Hero, Draelos, Au)
  • Signal/image processing (e.g. Najarian, Rao, Srinivasan, Sripada, Athey, Draelos, Au)
  • Proteomics or metabolomics (e.g. Andrews, Nesvizhskii, Karnovsky, Burant)
  • Protein structure/dynamics/folding modeling (e.g. Y. Zhang, Brooks, Carlson, Freddolino)
  • Clinical / Health informatics / NLP (e.g. Draelos, Dinov, Nallasamy, Singh)
  • Electronic Health Records/Genetics/Precision Medicine (e.g. Shi, Hanauer, Taylor, Najarian, Athey)
CCMB - A Hub for Collaborative Research

At the Center for Computational Medicine and Bioinformatics (CCMB), students have an abundance of opportunities to perform research under the mentorship of 130 affiliated faculty members from the U-M Medical School, the College of Engineering, the College of Literature, Arts and Sciences, the School of Public Health, the School of Nursing and the School of Information.

Learn about CCMB
Leadership
Program Directors
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
Professor of Computational Medicine and Bioinformatics
headshot of Alla Karnovsky Alla Karnovsky, PhD
Program Director
Bioinformatics Master's Program
Associate Professor of Computational Medicine and Bioinformatics
Maureen Sartor Maureen Sartor, PhD
Co-Director
Bioinformatics Graduate Program
Professor of Computational Medicine and Bioinformatics
Professor of Biostatistics
Administrative Guidance
Photo portrait of Julia Eussen Julia Eussen
Living & Learning in Ann Arbor

Ann Arbor is consistently ranked one of the best places to live nationwide - for good reason. With the opportunities of a city, the charm of the Midwest and four seasons of outdoor adventure, it’s easy to thrive here.

Learn about Ann Arbor
Upcoming Events See all events
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)
Bioinformatics PhD Defense: Cooper Stansbury
Cooper Stansbury will present a Bioinformatics PhD Defense titled "On the form and function of single cells".
CCMB Seminar: Todd Hollon, PhD
Join the U-M CCMB/DCMB Seminar "Multimodal AI models for neuroimaging" presented by Todd Hollon, PhD
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)
CCMB Seminar: Wenbo Li, PhD
"How enhancers work in health and disease? - views from genetics, epigenetics and epitranscriptomics" presented by Wenbo Li, PhD (McGovern Medical School, TX)
Tools and Technology Seminar: Wenjing Ma
"Optimal transport analysis of spatial transcriptomics reveals spatial domain development along time trajectories" presented by Wenjing Ma (Biostatistics)
DCMB Industry Day
Have you ever wondered what it is like to work in the biotechnology industry? Are you interested in hearing from industry insiders about how they got started and what skills employers are looking for today? Please join us for the 6th Annual DCMB Industry Day!
Tools and Technology Seminar: Mason Ferlic
“Rethinking Randomizations: A SMART Approach to Optimizing Adaptive Interventions” presented by Mason Ferlic (Statistics; Data Science for Dynamic Intervention Decision-Making Center)
Featured News & Stories See all news Yufeng Zhang, PhD
Department News
Yufeng Zhang, PhD, defended her bioinformatics dissertation thesis on machine learning models
Zhang's research focuses on developing data-driven identification and prediction systems for real-world medical applications. I am particularly interested in enhancing the generalization and interpretability of machine learning and deep learning models in medicine, as well as exploring innovative methods to improve model accuracy. To address challenges such as the lack of annotated data, limited generalization capabilities, and the need for interpretable models, I have applied several strategies, including privileged information learning, self-supervised learning, and approximate reasoning.
Girls Who Code executive board members
Department News
U-M Girls Who Code receive the Carol Hollenshead Inspire Award for Excellence in Promoting Equity and Social Change
The Carol Hollenshead Inspire Award for Excellence in Promoting Equity and Social Change recognizes faculty, staff and students — either an individual or a group — who have proven that social change is possible through persistent hard work and who demonstrate that one person can make a lasting difference in their communities. Girls Who Code was founded at U-M in 2017 by doctoral students in the Medical School’s Gilbert S. Omenn Department of Computational Medicine and Bioinformatics.
Yiqun Wang at a local farm
Points of Blue
Yiqun Wang, PhD candidate: Giving back to the biomedical field through research
Hy Do is a PhD Candidate in the Bioinformatics Program.
Dr. Stidham in AGA News
Department News
How AI can help physicians: Dr. Stidham's interview in the American Gastroenterological Association News
Dr. Stidham's interview in AGA "GI Docs will need to forge a 'Human-Computer Cooperative'"
Mary Freer receives Presidential Citation from Lynnetta Smith, on behalf of President Ono
Department News
Mary Freer receives a Presidential Citation for her extraordinary service to the University
Mary Freer received a Presidential Citation from President Ono on December 12, 2024
DCMB BGSA activity
Department News
DCMB Trainees - 2024 Highlights
DCMB student highlights for 2024 - Awards and graduation, events.