I am an Assistant Professor of Internal Medicine at the University of Toledo College of Medicine and Life Sciences, where I have served as a faculty member since July 2018. As a physician-scientist, I integrate clinical practice, research, and education with a focus on metabolic health, nutrition, and real-world translational science.
Clinically, I practice as an attending internist and a certified Obesity and Physician Nutrition Specialist. I provide comprehensive care in both general internal medicine and a specialized obesity and clinical nutrition clinic, emphasizing evidence-based strategies for chronic disease prevention and management.
In research, I focus on hypertension, obesity, diabetes, and clinical nutrition. I utilize real-world data platforms—including TriNetX, the FDA Adverse Event Reporting System (FAERS), and the Healthcare Cost and Utilization Project (HCUP)—to conduct translational research on patient outcomes, healthcare utilization, and pharmacovigilance. My work bridges clinical practice and large-scale analytics to inform evidence-based care delivery.
In education, I have served as a clinical preceptor and mentor for medical students and residents, supervising their development in patient care, clinical reasoning, scholarly activity, and residency placement. I have also taught Python programming in the Advanced Program in Bioinformatics to doctoral students, fostering skills in data analysis for translational science. In addition, I have led quality improvement education initiatives, guiding residents in statistical modeling and time-series analysis to improve clinical outcomes. My dedication to education has been recognized with the Dean’s Award for Teaching Excellence.
Earlier in my career, I contributed to bioinformatics and RNA sequencing research on hereditary COPD during residency and conducted evolutionary genomics analyses with data from the '1000 Genomes' project. This interdisciplinary background in computational biology and clinical medicine uniquely positions me to advance healthcare delivery through innovation and education.
Looking ahead, I remain committed to expanding research in real-world data applications, advancing clinical care models in obesity and metabolic health, and mentoring the next generation of healthcare leaders.
