Prof. Sankara Sarma P.

MSc, MHS, PhD

Principal
Prof. P. Sankara Sarma, MSc, MHS, PhD, is the Principal of the Global Institute of Public Health (GIPH). With over three decades of distinguished experience in academia and research, he is a leading expert in biostatistics, demography, and public health, with a strong focus on their applications in health research and policy.
Prof. Sankara Sarma P
Academic Background

Prof. Sarma holds a PhD in Public Health from the Johns Hopkins Bloomberg School of Public Health, with a specialization in Demography and a minor in Biostatistics. He also earned a Master of Health Science (MHS) in Biostatistics from the same institution and a Master of Science (MSc) in Demography from the University of Kerala.

Professional Experience

Prior to joining GIPH, Prof. Sarma served as Professor at the Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST) from 1994 to 2024. He also held the position of Head of the Achutha Menon Centre for Health Science Studies (AMCHSS), where he contributed significantly to public health research and academic training.

He currently serves as a Statistical Advisor to the Indian Council of Medical Research (ICMR), contributing his expertise to national-level research and policy initiatives.

Research and Academic Contributions

Prof. Sarma is widely recognized for his contributions to research methodology, biostatistical analysis, and public health research. His work has significantly strengthened evidence-based health research in India.

As a mentor, he has guided numerous postgraduate, doctoral, and postdoctoral scholars, and has supported researchers in advanced statistical analysis, research design, scientific writing, and competitive grant development.

Professional Engagements

In addition to his academic roles, Prof. Sarma serves on several national and international scientific committees, technical advisory groups, editorial boards, and peer-review panels. He provides expert guidance in biostatistics, research methodology, and data interpretation.

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