The University of Digital and AI Management (UniDAIM) has appointed Dr. Gregory V. Fant, DSc, PhD, MPA, MSHS, MACE, as a Senior Research Fellow in recognition of his academic qualifications, extensive professional experience, and contributions to public health research, epidemiology, and statistical science.
Dr. Fant brings nearly three decades of experience in U.S. federal public service, having served with the U.S. Department of Veterans Affairs, the U.S. Department of Health and Human Services, Walter Reed Army Medical Center, and the U.S. Census Bureau. His professional expertise spans public health epidemiology, biostatistics, health data science, population health, disease surveillance, and health informatics.
Throughout his career, Dr. Fant has contributed to the development and oversight of national public health data systems, including those supporting HIV/AIDS care and treatment, solid-organ transplantation, and communicable disease surveillance. His work has involved statistical analysis, program evaluation, mathematical modeling, and the application of emerging artificial intelligence technologies to improve data quality and strengthen evidence-based public health decision-making.
Dr. Fant holds a Doctor of Science in Health Sciences, specializing in epidemiology, and a PhD in interdisciplinary health studies, alongside postgraduate qualifications in health sciences and public administration. His professional achievements have earned recognition from U.S. federal agencies and international public health institutions, reflecting his commitment to scientific advancement and public service.
His appointment as Senior Research Fellow reflects UniDAIM’s commitment to advancing research, innovation, and academic collaboration. As a lifetime academic appointment, the position recognizes Dr. Fant’s scholarly achievements and professional contributions while supporting the university’s broader research mission.
Through this appointment, UniDAIM welcomes an experienced public health scientist whose expertise in epidemiology, statistical methods, and health data systems aligns with the university’s interest in advancing knowledge and promoting research-informed approaches to contemporary challenges.
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