Project Research Scientist‑I (Biostatistics) at ICMR – National Institute of Epidemiology, Chennai
I design statistical analysis plans, estimate sample size & power, and build spatial and Bayesian models that turn public health surveillance data into evidence for decision‑making.
Biostatistician with experience in public health and clinical research, epidemiological studies, and large‑scale health surveillance data. Experienced in quantitative research and evidence generation to support epidemiological research, disease surveillance, and public health decision‑making.
Study design, SAP development, sampling strategy, sample size & power analysis, descriptive & inferential statistics.
Infectious disease modelling, outbreak investigation, disease surveillance analytics, causal inference designs.
Curation of large‑scale laboratory surveillance data across 150+ VRDL labs; REDCap/eCRF development & QA.
Bayesian analysis and modelling alongside regression, multivariate, time‑series, and survival analysis.
Spatial analysis and geospatial modelling using QGIS and GeoDa for epidemiological research.
Interactive dashboards, KPI analytics, and web‑based data applications with Looker Studio, R Shiny.
National Institute of Epidemiology, ICMR School of Public Health
Government Arts and Science College, Kumbakonam
Abdulkader RS, Ramasamy S, Vaman RS, Sapkal GN, Narayan J, Sinthanai SP, et al. Acute encephalitis syndrome and Japanese encephalitis in India: insights from a nationally representative laboratory surveillance network, 2014–2023.
DOI: 10.1186/s12879-025-12274-7 →Abdulkader RS, Vijay N, Potdar V, Sinthanai SP, Narayan J, Ramasamy S, et al. Epidemiology of Human Metapneumovirus (HMPV) in India: a cross‑sectional study.
DOI: 10.1016/j.lansea.2025.100667 →Open to collaboration on biostatistics, epidemiology, and public health data science projects.