DCMB Education
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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)
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 120 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 the CCMB
Program Directors
Margit Burmesiter 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
Program Associate, Wellness Office
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
Program Associate
Bioinformatics Graduate Program
Professor of Computational Medicine and Bioinformatics
Professor of Biostatistics
Administrative Guidance
user Julia Eussen user Kati Ellis
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
Featured News & Stories See all news Photos of DCMB promoted faculty: Yuanfang Guan, Ph.D., Jie Liu, Ph.D., Ryan Mills, Ph.D., Stephen C.J. Parker, Ph.D., and Arvind Rao, Ph.D.
Department News
Five DCMB faculty are promoted, congratulations!
Five DCMB faculty were promoted. They are Yuanfang Guan, Ph.D., Jie Liu, Ph.D., Ryan Mills, Ph.D., Stephen C.J. Parker, Ph.D., and Arvind Rao, Ph.D. Congratulations!
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Health Lab
Massive study identifies new biomarkers for renal cancer subtypes, improving diagnosis and—eventually—treatment
A study led by University of Michigan Health Rogel Cancer Center researchers identifies novel biomarkers in renal cell carcinomas.
Maya Bose Drawn to Michigan caricature
Department News
Drawn to Michigan Featuring Maya Bose
Drawn to Michigan Featuring Maya Bose - From River Otters to DNA: Her Journey to Computational Medicine and Bioinformatics at U-M!
University of Michigan Girls Who Code logo
Department News
U-M Girls Who Code (GWC) received a Phyllis M. Blackman Innovation Grant to promote "Strengthening Community Partnerships."
This DEI grant will support the Girls Who Code Summer Camp in greater Detroit.
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Health Lab
Why personalized medicine is important in rare kidney disease
Building a comprehensive human kidney cell and tissue catalog could help develop more treatments for kidney disease.
Illustration of a microscope
Health Lab
Researchers uncover distinct molecular subgroups of kidney disease for personalized treatment
Researchers have used advanced computer algorithms to uncover distinct molecular subgroups of kidney diseases, independent of clinical classifications. These findings have significant implications for personalized treatment approaches.