April 27, 2026
Dr. Jacob Davis leads efforts within the Systems and Computational Biology Section at the NIBIB’s BETA Center, where he focuses on integrating data science and mathematical modeling to better understand complex biological systems. His work sits at the intersection of experimental and computational research, helping translate large, multifaceted datasets into actionable biological insight.
As biological data continues to grow in scale and complexity, there is an increasing need for approaches that can capture interactions across systems rather than focusing on isolated components. The Systems and Computational Biology Section addresses this challenge by developing and applying computational models that simulate biological behavior, predict system responses, and generate new, testable hypotheses. These approaches help reduce experimental burden while improving the efficiency and impact of research.
The group supports a wide range of projects across basic, translational, and clinical domains, offering expertise in data analysis, mechanistic modeling, statistical methods, and study design. They also provide access to computational infrastructure and collaborative space, along with training opportunities that range from hands-on workshops to graduate-level coursework in bioinformatics.
A key aspect of the section’s mission is accessibility and collaboration. By maintaining expertise in both wet-lab and computational techniques, the team serves as a “bilingual” bridge between disciplines, helping researchers navigate complex analytical challenges and identify the most effective strategies for their scientific questions.
Researchers interested in collaboration, training, or consultation are encouraged to connect with the group to explore how systems and computational approaches can enhance their work.
Contact Jacob – jacob.davis@nih.gov
Join the BETA Center’s Listserv or become an affiliate of the Center by emailing BETACenter@mail.nih.gov
– Jacob Davis, PhD
This topic spotlight was authored on April 27, 2026 and reflects the information available at that time. As content may evolve, please contact us at ncibtep@nih.gov to obtain the most current information.