Contact Details

Phone: 9560048416
Tanica Lyngdoh
Additional Professor

Tanica Lyngdoh completed her graduation from Lady Hardinge Medical College, New Delhi and has an MD in Community Medicine from University College of Medical Sciences, New Delhi. She further specialized in Epidemiology from the London School of Hygiene and Tropical Medicine (LSHTM), UK as an external student. She was funded by the Swiss National Science Foundation for a PhD in Epidemiology from the University of Lausanne, Switzerland which she completed in May 2013. Prior to her PhD, she has several years of experience working in a large population-based project in collaboration with the LSHTM. Her primary focus has been in the area of preventive cardiology, in particular cardio-metabolic risks and diseases. Her PhD focused on the epidemiology of cardio-metabolic abnormalities, in particular, evaluating genetic and non-genetic associations of uric acid and kidney function with blood pressure and other metabolic abnormalities. This work involved association analyses in multiple population-based epidemiological studies in Switzerland and Seychelles, including complex and robust statistical analysis of family data and analysis of human genetic data. This work was accepted for several financial grants that allowed her to present her work at various international conferences and has resulted in several publications in peer-reviewed medical journals. Currently as a faculty at the Institute, she is engaged in several research activities and is actively involved in training and teaching in academic programmes.

Center Affiliations
  • IIPHD
Research Summary and Interests

Cardiovascular risks and diseases, metabolic abnormalities, mental health, maternal and child health, genetic epidemiology, research methodology, applied biostatistics, health systems, implementation research, Health Information Systems.

Areas of Expertise
  • Maternal Health/Women’s Health
  • Non-Communicable Diseases(NCDs) and Injuries
  • Community Health
  • Research Methods
  • Bio Statistics
  • Health Informatics