Hamed Gilzad Kohan, PhamD, PhD

Hamed Gilzad Kohan, PharmD, PhD, is an Associate Professor of Pharmaceutical Sciences at MCPHS. His teaching and research focus on pharmacokinetics, pharmacometrics, quantitative systems pharmacology (QSP), and the application of artificial intelligence and machine learning in drug development and precision medicine.

Drawing on his backgrounds in pharmacy and pharmaceutical sciences, he integrates clinical and quantitative perspectives to improve dose optimization, individualized treatment, and model-informed decision-making. He has published extensively in the pharmaceutical and biomedical sciences and is committed to mentoring students, advancing interdisciplinary research, and preparing future pharmacists and scientists to use emerging computational tools responsibly in education, research, and patient care.