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M. Dianati

Clinical Epidemiologist & Project Manager

Dr. Mostafa Dianati is a clinical epidemiologist with a Ph.D. in Clinical Epidemiology from Maastricht University, Netherlands, and over eight years of experience in clinical research and data/ project management.

Academic Background and Early Career

Mostafa earned his M.Sc. in Epidemiology from Shiraz University of Medical Sciences, where he was awarded top researcher among his peers. Following this, he served as executive director at the Shiraz HIV/AIDS Research Center and later as a faculty member in Iran, ranking as the top researcher within his university.

Research Contributions

During his Ph.D. studies at Maastricht University, Mostafa contributed extensively to the BLEND project, analyzing data from 13 international cohort studies. His work has led to over 70 peer-reviewed publications, an h-index of 37, and more than 30,000 citations; testaments to his impact on epidemiological and public health research. Post-Ph.D., he collaborated with the International Agency for Research on Cancer (IARC), further broadening his research experience.

Professional Roles and Teaching

Mostafa has also served as a Research Advisor and was the instructor of the Real-World Evidence (RWE) Course at Epistudia Company. His diverse background includes expertise in data science, clinical research, and team leadership, along with teaching and supervising students. He served as an associate editor for prominent journals, including Frontiers in Public Health and BMC Public Health, where he contributes to the advancement of public health and epidemiology.

Currently, Dr. Mostafa is a project manager at Maastricht University responsible for Health-RI Limburg. 

Areas of Expertise

Mostafa’s expertise encompasses clinical data modeling, study protocol design, and real-world evidence studies, with a strong foundation in statistical analysis using tools like STATA, R, and Python. His research is dedicated to improving patient outcomes and advancing precision medicine through rigorous data analysis and collaborative research.