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Public Biography
Biography I am a tenured Associate Professor in the School of Information (iSchool) at the Florida State University and a Core Affiliate of the Institute for Successful Longevity. I am also holding courtesy appointments with Department of Behavioral Sciences and Social Medicine of College of Medicine and Department of Computer Science. At Florida State, I am the Team Lead and Informatics Lead of Biostatistics, Epidemiology, and Research Design (BERD) Program in the FSU-UF Clinical and Translational Science Award. I am an Associate Editor of BMC Medical Informatics and Decision Making. My research lies at the intersection of Biomedical & Health Informatics, Computers Science, and Information Science. As an interdisciplinary researcher, my main research expertise includes machine learning, natural language processing, knowledge representation, and big data analytics. In FSU iSchool, I lead the eHealth Lab. The overarching goal of my research is to improve population health and advance biomedical research through the collection, analysis, and application of electronic health data from heterogeneous sources. As Principal Investigator, my research has been funded by National Institutes of Health, Eli Lilly and Company, Amazon, NVIDIA, FSU Council on Research and Creativity, and Institute for Successful Longevity. I have published over 90 papers in leading biomedical informatics venues including JAMIA, JBI, AIIM, JMIR, AMIA, and MEDINFO. My papers received a number of prestigious recognitions including two Distinguished Paper Awards in AMIA 2015 and AMIA 2017, 2nd Place Best Student Paper Award of AMIA 2019 Annual Symposium, paper selection in "AMIA 2014 Informatics Year In Review", finalists of the Student Paper Award of AMIA 2015 Summit on Clinical Research Informatics and MEDINFO 2015, and paper selection in "Clinical Research Informatics 2016 Year in Review".


Fellows of AMIA (FAMIA)

FAMIA stands for “Fellow of the American Medical Informatics Association” and it recognizes the contributions and professional accomplishments of AMIA members who apply informatics skills and knowledge to their practice – be that in a clinical setting, a public or population health capacity, or as a clinical researcher.

Year Inducted
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Knowledge Discovery and Data Mining
Working Group

Chair Elect 2024

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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Awards Committee


The Awards Committee selects and coordinates the awards presented at AMIA meetings including the Student Paper Award Competition and working group awards.

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