The mission of the Department of Computational Medicine and Bioinformatics (DCMB) is to create novel and impactful informatics and computationally-based methods, tools, and algorithms, and resources to extend basic and clinical research capabilities and results. Computational medicine and bioinformatics is an applied field, and relies on an interdisciplinary research culture for success. DCMB is deeply committed to training the next generation of innovators and leaders in this field, applying to create new science, translational research, and creating new methods to improve public health and societal welfare
Bioinformatics Graduate Program
The Bioinformatics Graduate Program is the academic component of DCMB. The program is led by Dr. Margit Burmeister, Professor of Computational Medicine & Bioinformatics & Human Genetics and Dr. Daniel M Burns, Jr., Professor of Mathematics. Multidisciplinary faculty support the robust curriculum and research opportunities for the students.
The Bioinformatics Graduate Program is also home to two NIH T32 training grants: The Bioinformatics Training Program (NIGMS) and The Proteome Informatics of Cancer Training Program (NCI).
As of Fall 2016, the Bioinformatics Program has graduated over 60 Ph.D. students and over 50 Master’s students. Alumni from both programs have gone into both academia and industry. While many remain invested in the medical field working at institutions such as the MD Anderson Cancer Center, the Mayo Clinic, or at corporations such as Ambry Genetics or Thermo Fisher Scientific, others have applied their skills to other areas of industry (working at locations such as Tenizen, Inc. or Google, Inc.). A complete list of alumni and their job information can be found on the alumni pages. The department continues to build ties in both academics and industry and strives to find the best career path for each student.
Center for Computational Medicine and Bioinformatics
The U-M Center for Computational Medicine and Bioinformatics (CCMB) is a university-wide interdisciplinary academic center with over 100 affiliated faculty members. About half of the faculty of CCMB are drawn from diverse quantitative fields such as mathematics, computer science, engineering, bioinformatics, and bio-statistics; the other half are based in chemistry, biology, or medicine, applying cutting-edge biomedical informatics to their work. CCMB is the University of Michigan institutional leader in the entire spectrum of biomedical informatics disciplines, including bioinformatics innovation, clinical informatics, and health informatics. Complementary faculty serve as co-mentors for the graduate students.
DCMB Faculty are passionate contributors to various aspects of the field, whose experience is diverse and spans the bioinformatics and clinical research continuum. Many are national leaders in their sub-disciplines.
Core DCMB Instructional Faculty:
Brian D. Athey, Ph.D.
Alan Boyle, Ph.D.
Margit Burmeister, Ph.D.
Jeffrey de Wet, Ph.D.
Barry Grant, Ph.D.
Yuanfang Guan, Ph.D.
Ryan Mills, Ph.D.
Kayvan Najarian, Ph.D.
Gilbert S. Omenn, M.D., Ph.D.
Stephen Parker, Ph.D.
Indika Rajapakse, Ph.D.
Maureen Sartor, Ph.D.
Jieping Ye, Ph.D.
Yang Zhang, Ph.D.
Core DCMB Research Faculty:
CCMB Affiliated Faculty with Secondary Appointments in DCMB
Goncalo Abecasis, Ph.D. (Biostatistics); Professor, Computational Medicine and Bioinformatics
Ivo D. Dinov, Ph.D. (Health Behavior and Biological Sciences); Associate Professor, Computational Medicine and Bioinformatics, SOCR Director
Phil Andrews, Ph.D. (Biological Chemistry); Professor, Computational Medicine and Bioinformatics
Daniel Forger, Ph.D. (Mathematics, LS&A); Professor, Computational Medicine and Bioinformatics
Peter Freddolino, Ph.D. ( Biological Chemistry); Assistant Professor, Computational Medicine and Bioinformatics
Jeff Kidd, Ph.D. (Human Genetics); Assistant Professor, Computational Medicine and Bioinformatics
Jacob Kitzman, Ph.D. (Human Genetics); Assistant Professor, Computational Medicine and Bioinformatics
Matthias Kretzler, M.D. (Internal Medicine, Nephrology); Professor, Computational Medicine and Bioinformatics
Jun Li, Ph.D. (Human Genetics); Associate Professor, Computational Medicine and Bioinformatics
Alexey Nesvizhskii, Ph.D. (Pathology); Associate Professor, Computational Medicine and Bioinformatics
Santiago Schnell, Ph.D. (Molecular & Integrative Physiology); Associate Professor, Computational Medicine and Bioinformatics
Elizabeth Speliotes, M.D., Ph.D., M.P.H. (Internal Medicine, Gastrointestinal); Assistant Professor, Computational Medicine and Bioinformatics
Jeremy Taylor, Ph.D. (Biostatistics, Public Health); Professor, Computational Medicine and Bioinformatics
Cristen Willer, Ph.D. (Internal Medicine, Cardiovascular Medicine); Associate Professor, Computational Medicine and Bioinformatics