Public Biography
Dr. Humayera Islam is a precision health and biomedical informatics researcher currently working as a postdoctoral scholar at the University of Chicago. Building on her strong background in applied statistics, Dr. Islam moved to the United States to pursue advanced training in health informatics, earning both her M.S. and PhD in Health Informatics from the University of Missouri–Columbia. Her doctoral work focused on AI methods for modeling EHR complexity and predicting diabetic complications. Her current research focuses on developing multimodal clinical AI methods that transform real-world health data into interpretable evidence for clinical decision-making. She works with large-scale electronic health records, clinical text, genomics, imaging, and other multimodal biomedical data to support risk prediction, disease monitoring, care-gap detection, and evidence-based decision support across chronic disease, cancer, and high-acuity care settings. Her methodological expertise includes machine learning, deep learning, foundation models, natural language processing, multimodal predictive modeling, and clinically interpretable AI.
Actively involved with the American Medical Informatics Association (AMIA), Dr. Islam contributes to the informatics community through various leadership roles, including the Chair of the AMIA Student Working Group (2022-2024) and serving as a member of AMIA's CEO Search Task Force (2024). In 2025, she was nominated as a candidate for the AMIA Board of Directors, reflecting her growing leadership within the national informatics community.
Dr. Islam’s dedication to research, leadership, and academic collaboration has earned her several awards and recognitions, including the Outstanding PhD Student Award (2024), Outstanding Alumni Award (2024), a 1st Place win at the AMIA Informatics Summit Student Paper Competition (2022), and the Mizzou 18 Honor for her outstanding research and leadership, awarded by the Mizzou Alumni Association (2023). Through her research and service, she is committed to advancing trustworthy, evidence-based clinical AI and contributing to the future of precision healthcare and biomedical informatics.
Actively involved with the American Medical Informatics Association (AMIA), Dr. Islam contributes to the informatics community through various leadership roles, including the Chair of the AMIA Student Working Group (2022-2024) and serving as a member of AMIA's CEO Search Task Force (2024). In 2025, she was nominated as a candidate for the AMIA Board of Directors, reflecting her growing leadership within the national informatics community.
Dr. Islam’s dedication to research, leadership, and academic collaboration has earned her several awards and recognitions, including the Outstanding PhD Student Award (2024), Outstanding Alumni Award (2024), a 1st Place win at the AMIA Informatics Summit Student Paper Competition (2022), and the Mizzou 18 Honor for her outstanding research and leadership, awarded by the Mizzou Alumni Association (2023). Through her research and service, she is committed to advancing trustworthy, evidence-based clinical AI and contributing to the future of precision healthcare and biomedical informatics.
Affiliations
Education
Working Group
Secretary
Members of the Education Working Group advance the teaching of informatics as a discipline and promote clinical transformation through the integration of health information technology into the curriculum of health professionals. The Education Working Group is engaged in research efforts aimed at understanding the present climate and improving informatics education.
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Clinical Research Informatics
Working Group
Member-at-Large
The Clinical Research Informatics Working Group's mission is to advance the discipline of Clinical Research Informatics (CRI) by fostering interaction, discussion and collaboration among individuals and groups involved or interested in the practice and study of CRI, and to serve as the home for CRI professionals within AMIA.
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Knowledge Discovery and Data Mining
Working Group
Secretary
Knowledge Discovery and Data Mining focuses on the process of extracting meaningful patterns from biomedical data (knowledge discovery), using automated computational and statistical tools and techniques on large datasets (data mining).
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Membership Committee
Vice Chair
The Membership Committee advances a strong, meaningful, and inclusive member experience across the member lifecycle by providing strategic guidance on engagement, value, and involvement. The Committee advises the Board by monitoring trends in member needs and expectations, assessing the effectiveness of the membership experience, and promoting opportunities for members to connect, contribute, and lead within AMIA. The committee reports to the Board.
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Journals and Publications Committee
Member
The Journals and Publications Committee oversees AMIA’s journals, partner-journals, and publications, including monitoring relations with and the performance of the journals' publishers and editors, developing and reviewing policies on matters that affect the journals.
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