The mission of the Center for Biomedical Informatics (CBMI) is to connect University of Missouri health care professionals and basic scientists who have a problem to solve with quantitative experts across campus in fields such as computer science, math, statistics and engineering.
Forming these multidisciplinary research teams will allow collaboration throughout a project and contribute to more high-impact publications, grant funding and, most important, solutions that improve care for patients.
The CBMI is led by Peter J. Tonellato, PhD, who has used his background in applied mathematics to start multidisciplinary centers at other academic medical institutions. The glass walls and open floor plan of the CBMI space are visual representations of the center’s transparent and welcoming approach.
The CBMI is part of MU’s translational precision medicine initiative that emphasizes a collaborative approach to disease treatment and prevention that accounts for the differences in individual patients. It supports multidisciplinary, hypothesis-driven research supporting long-term programs in biomedical science, translational research and precision medicine studies in a spectrum of diseases.
In a typical case, a medical researcher approaches the CBMI with a problem. The CBMI sets up a forum that includes representatives from the MU departments or colleges that could organize and interpret the data and help the researcher find solutions. In the forums, the group defines the problem, establishes a scientific hypothesis and comes up with ideas on how to approach the objectives.
Such initiatives typically use a multidisciplinary and collaborative research model that has several important elements that might include biomedical and translational hypotheses, innovative method development and novel analysis to produce results that support or refute the hypotheses.
CBMI Open Position
The Department of Emergency Medicine and the Center for Biomedical Informatics, University of Missouri School of Medicine, invite applications for an Assistant, Associate or Full Professor position. We seek creative Data Scientists, Applied Mathematicians, Statisticians or Bioinformaticians with a strong theoretical foundation and with a demonstrated commitment to applying new approaches, theoretically sound methods, computational means and tools to tackle challenging biomedical and translational precision medicine questions arising in this era of ‘big data’ integrated from heterogeneous domains of genetics, biological, clinical and (patho)physiological sources in pursuit of improved Emergency Medicine practice.