Chair’s Welcome

Welcome to the Department of Pharmacology, Physiology, and Neurobiology. This department incorporates two long-standing College of Medicine departments with strong histories of excellence at the University of Cincinnati. Our department is pursuing research initiatives exploring how organ systems interact to promote health and impact disease processes. Key areas of emphasis include cardiovascular biology, neurobiology, metabolic biology, chronobiology, computational biology, and membrane transport. We use systems biology and informatics to develop innovative new approaches for our research endeavors.

The department is committed to the training of the next generation of scientists, with a Pharmacology and Physiology PhD program and rigorous master’s programs geared toward preparing students for entry into the biomedical sciences workforce and enhancing competitiveness for medical school admissions. We look forward to a strong period of growth in both our research and education missions, and welcome you to consider joining us in this exciting time.

James P Herman, PhD
Flor van Maanen Professor and Chair

PPN Happenings

Give to Pharm Fund for UC's Day of Giving

Give with Heart to the Pharmacology Professional Development Fund for UC's Day of Giving (Now until 12/2/25) - Enable PhD students to travel to meetings & courses. An anonymous donor will match gifts up to $35,000. Learn More

PhD candidate Lindsay Helock presents her research

Nov 5, 2025 – In the student-organized seminar series, Lindsay Helock (Waxman lab) discussed “Understanding the role of neurokinins in conduction and cardiomyocyte proliferation in the developing zebrafish embryo".

PhD candidate Gautam Vijaywargi presents his research

Nov 5, 2025 – In the student-organized seminar series, Gautam Vijaywargi (Prasad lab) discussed “Characterizing the significance of organic cation transporter 1 (OCT1) in xenobiotic and endobiotic disposition".

Congratulations to Dr. Rizvi!

Oct 30, 2025 – Faiz Rizvi (Miraldi lab) successfully defended his doctoral dissertation “Transcription factor binding prediction from ATAC-seq using deep learning".

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