Hamed Gilzad Kohan

Hamed Gilzad Kohan, Associate Professor at Massachusetts College of Pharmacy and Health Sciences (MCPHS), is recruiting PhD student(s) for a computational pharmacology project in Boston, United States. The position focuses on quantitative systems pharmacology (QSP) , model-informed drug development (MIDD) , hybrid mechanistic and machine learning methods, and an unsolved clinical prediction problem with experimental validation from collaborating labs. Ideal applicants should be comfortable with Python, Julia, or R , have some exposure to Bayesian inference , and come from pharmaceutical sciences, engineering, applied mathematics, and/or computational biology. A strong curiosity about physiology is highlighted as especially important. This is a PhD opening starting in September 2027 . The post does not specify funding details, but it states that applications go through the MCPHS admissions process. How to apply: use the MCPHS application portal link provided in the post. For questions about the project or fit, email [email protected] with a short note describing a modeling or computational project you have worked on.