Statistical modelling
Bayesian hierarchical and state-space models, GAMs, regression, survival analysis, time series, hypothesis testing, and experimental design.
From mathematics and statistics to infectious disease modelling, my work connects methodological rigour with questions in public health.
Tools for asking better questions.
Bayesian hierarchical and state-space models, GAMs, regression, survival analysis, time series, hypothesis testing, and experimental design.
Supervised and unsupervised learning, tree-based methods, support vector machines, deep learning, transformer-based NLP, and hybrid statistical–ML frameworks.
Reproducible analysis and predictive modelling for health and environmental data systems.
Across disciplines and borders.
Bagchi School of Public Health · Ahmedabad University
Measles transmission patterns under migration at the subnational level. A Catalyst Grant project supported by the Measles Analytics Hub, Imperial College London.
College of Health · Lehigh University
Bayesian hierarchical and state-space modelling of influenza surveillance, forecasting, and reproducible Python research pipelines.
Dia-Heals · Public Health Innovations and Research Centre
Clinical risk modelling for diabetic lower limb amputation using machine learning and SHAP-based interpretation.
International Student Project Programme · Phuket Rajabhat University
Climate–health modelling of nonlinear environmental effects on COVID-19 transmission.
International Student Project Programme
Mentoring international students in statistical modelling and machine learning through lectures and case studies.
Grounded in mathematics and statistics.
Mahatma Gandhi University · Kottayam, Kerala
School of Mathematics and Statistics. Master’s research explored a hybrid statistical–ML framework for malware detection.
Mahatma Gandhi University · Kottayam, Kerala
Sharing knowledge and learning together.
School of Mathematics and Statistics · Mahatma Gandhi University
Recognised for academic and research potential and selection for international research internships.
ICMS 2025 · ESPOCH 2024 · ISPP 2025
Presentations on environmental risk and climate–COVID modelling, and a technical session on data science for pandemic preparedness.
Peer reviewer for Springer Nature, Franklin Open, and Wiley journals.
English: professional proficiency · Malayalam: mother tongue · Hindi: intermediate.