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Biomedical Informatics and Data Science January 26, 2026

lana garmire resized Lana Garmire, Ph.D., professor and vice chair of Research in the Department of Biomedical Informatics and Data Sciences, has been elected a Fellow of the American College of Medical Informatics (ACMI), an honor recognizing leaders who have made significant contributions to the field of medical informatics.

ACMI represents the highest level of achievement in biomedical informatics bringing together the field's most accomplished informaticians who drive innovation, shape policy, and advance healthcare through technology and information science.

“Being elected an ACMI Fellow is a deep honor and recognition from leaders I admire,” Garmire said. “It validates the persistence, resilience, and behind-the-scenes efforts I’ve invested over 13 years as a faculty, in research, mentorship, and service. At the same time, it marks a new phase of responsibility to contribute significantly to the field.”

Garmire, who joined UAB in November 2025, said the Fellowship provides opportunities to engage with leading informatics professionals and expand her research collaborations.

Her recognition stems from the scientific impact and innovation of her computational methods for multi-omics, single-cell, and electronic health record analyses, their translational relevance to improving patient care, and her mentorship of over 100 trainees, including many junior faculty.

Her work develops computational methods that transform complex biomedical and clinical data into actionable strategies, supporting more precise disease modeling, patient risk and outcome prediction, and clinical decision-making.

“Through mentoring, leadership, and collaborations, I have also fostered networks that accelerate innovations across the field,” she said.

As a newly elected Fellow, Garmire hopes to contribute to ACMI by fostering cross-institutional collaborations and mentoring the next generation of informaticians. She also plans to focus on tackling high-impact challenges, such as early detection tools and new therapies for deadly cancers like pancreatic cancer.


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