Internationally Recognized Molecular Data Scientist Named ACMI Fellow

Dr. Ramana V. Davuluri cited for his pioneering research in the development of genome foundation models

STONY BROOK, NY, October 28, 2026 - Ramana V. Davuluri, PhD, SUNY Distinguished Professor and Interim Chair of the Department of Biomedical Informatics at Stony Brook University, has been named a Fellow of the American College of Medical Informatics (ACMI). On November 8, Dr. Davuluri will be among the 22 world leaders in the field of informatics officially inducted as 2026 ACMI Fellows at the American Medical Informatics Association's (AMIA) Annual Symposium in Dallas.

Dr. Davuluri is an internationally known molecular data scientist recognized for his work using artificial intelligence (AI) in biomedical applications for such areas as the development of gene promoter prediction algorithms, molecular subtyping assays for glioblastoma and ovarian cancers, and informatics pipelines for the analysis of cancer drug target interactions affected by alternative splicing.

At Stony Brook since July 2020, and in the field of Molecular Data Science for 25 years, Dr. Davuluri continues his AI and molecular science research and also oversees education, training and research in the Department of Biomedical Informatics, which encompasses faculty and their work for both the Renaissance School of Medicine (RSOM) and the College of Engineering and Applied Sciences (CEAS).

The ACMI is an entity of the AMIA. New Fellows are elected annually by active members of the ACMI. The organization defines Fellows as "distinguished leaders in the field of informatics, demonstrating thought leadership, deep expertise, and scholarly achievement." Each Fellow elected has had their "significant contributions to biomedicine and healthcare inform, educate, and inspire the informatics community to advance human health."

Regarding Dr. Davuluri, the ACMI states that his career reflects exceptional contributions to the Machine Learning and Translational Biomedical Informatics communities. Specifically, the ACMI states that "his pioneering research in the development of genome foundation models (DNABERT) has significantly improved our understanding of DNA language and how genetic/epigenetic changes in the non-coding genome alter DNA linguistics in cancer."

For more details on Dr. Davuluri's DNABERT work, see this AMIA profile.

For the full list of the new 2026 ACMI Fellows, see this AMIA press release.