Welcome to SJRI Health Data Tools

Data Redefined.
Optimized Algorithms.
Powerful Tools!

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Meet our Team!

Core Team

Dr. Anura V Kurpad

Professor & Former Head
Dept. of Physiology, SJMC

Dr. Anura V Kurpad is a Fellow of the Royal College of Physicians (London), NAMS, National Academy of Science, and the IUNS. His interests are in determining human nutrients and food requirements throughout the life cycle. He is the Chairman of the ICMR Expert Committee on Nutrient Requirements of Indians; a member of the Board of the Department of Biotechnology, Government of India, member of the Apex Scientific Committee of the regulatory FSSAI, and a member of the Technical Board of Nutrition at NITI Aayog which is the apex public policy think tank of the Government of India.

Dr. Tinku Thomas

Professor & Head
Dept. of Biostatistics, SJMC

Dr.Tinku Thomas has been the statistician to the St. John's birth cohort, several nutrient supplementation and fortification trials. Her contribution was instrumental in setting up of survey data repository for data from the production of foods to the consumption of nutrients and health outcomes across multiple decades. She is the principal investigator for several projects, including the Production and Consumption of Quality Foods in Bihar Project, funded by the Bill & Melinda Gates Foundation (BMGF), which focuses on agriculture nutrition linkages and the role of markets in this linkage.

Dr. Sumathi Swaminathan

Associate Professor
Dept. of Nutrition, SJRI

Dr. Sumathi Swaminathan holds a doctoral degree from Bangalore University, India. She has more than three decades of experience in nutritional research, academic teaching, nutrition counselling, education of patients and the community, and conducting intervention evaluation studies. She played a major role in the development of the NIN_TATA dashboard on What India Eats. She currently leads trials on complementary diets for infants through on home-based preparations.

Dr. Santu Ghosh

Associate Proffessor
Dept. of Biostatistics, SJMC

Dr. Santu Ghosh is an Associate Professor of Biostatistics specializing in observational and clinical epidemiology. He has 17 years of experience as a lead Biostatistician and worked in numerous nationally and internationally funded projects, including the Global Burden of Disease 2010 Project and the WHO Guidelines for Indoor Air Pollution. His core areas of research interest are air pollution epidemiology and public health nutrition. He served as a resource person for Recommended Dietary Allowances (RDA)-2020 by ICMR and statistical consultant to UNICEF for CNNS data analysis. He is also closely involved with NIN, Hyderabad, ICMR for multiple research projects related to nutrition including ongoing ‘Diet and Biomarker Survey in India (DABS-I)’. He has strong collaboration with IIT Delhi and AIIMS for several air pollution and health effects studies. He is also the steering committee member of CAPHER-India joint venture of AIIMS and IIT Delhi funded by HEI, Boston, USA.

Research Associates

Jeswin Baby

Research Analyst

Jeswin is a Statistician focusing on probabilistic modeling of health outcomes. His major areas of interest are Bayesian analysis, multilevel models, diagnostic test evaluation, etc. He has published five papers in international and national journals and attended several national and international conferences.


Statistician, PhD Student

Franciosalgeo is a statistician whose research interests include maternal/child nutrition, public health, and air pollution. He uses a variety of statistical techniques (parametric and non-parametric regression, generalized additive models, ridge regression, etc.) to address various research gaps in collaboration with subject matter experts

Aswathi Saji


Aswathi Saji is a statistician, with 3 years of experience working on projects related to child-undernutrition and women's health using data which are publicly available and shared by different projects. As a statistician she analyzes the numerical pattern and behavior of data and builds appropriate statistical models by utilizing statistical concepts and principles.


Senior Research Analyst

Jawahar holds a Master's degree in Statistics from Loyola College, Chennai. He is a results-oriented and performance-driven Statistician with excellent analytical skills and the crucial ability to operate both independently and in deadline-driven team environments. He is a Certified Analyst with a proactive approach and has programming skills in analytical tools like R, Python, and SQL.

Dr. Rekha Ravindran


Dr. Rekha Ravindran is an economist at SJRI. Her areas of research include food and nutrition security, income inequality, poverty, and structural transformation. At SJRI, Her work focuses on consumption-production linkages of quality foods, child undernutrition and public health expenditure.


Web Developer

Afsal is a creative designer and developer. As a web developer he is helping in the conversion of research objectives to data-oriented software that enables enjoyable interactions and experiences for everyone. And he can design and develop websites and website applications.

Fathima Ayoob

Research Analyst

Fathima is Statistical Research Analyst with strong statistical and math background with 2+ years' experience using predictive modeling, data processing and machine learning algorithms to solve research challenges. Involved in Python and R open-source community and passionate about natural language processing.

Ashikh Ahamed

Lead Research Developer

Ashikh is a full stack developer. He helps in the transformation of research objectives to data-oriented software to yield meaningful results. As the Lead Research Developer, he is responsible for collection of SRS, planning, designing, building, testing, deploying, and maintaining applications.

Rajesh Majumder


Rajesh is a statistician, working on various projects related to the public health sector, using data which is publicly available and shared by different projects. As a statistician his main role is to find out meaningful information and pattern form the data using different statistical techniques and building appropriate models.