I design and build interactive web applications and dashboards to make complex statistical models, research datasets, and scientific findings accessible to researchers, policy-makers, and the general public.
GPVIBES
Gaussian Process-based varying coefficient modeling tool for analyzing tumor heterogeneity in clinicogenomic cancer studies.
fiBAG
Interactive dashboard for functional integrative Bayesian analysis of high-dimensional multiplatform clinicogenomic data in cancer studies.
BaySyn
Bayesian evidence synthesis portal designed for multi-system multiomic integration and drug response modeling in oncology.
TransPRECISE
Interactive platform for modeling pan-cancer proteomic pathway networks and mapping drug sensitivity across multiple cell line databases.
Archived & Legacy Dashboards
During the early phases of the COVID-19 pandemic, I developed and deployed predictive models and transmission networks to help track and forecast pandemic dynamics in India. While the active servers are no longer hosted, the methodologies are detailed in the corresponding publications:
- COV-Networks (2021): A network-based transmission model and visualization tool designed to simulate contact-network dynamics and lockdown impacts in India (Journal of the Indian Statistical Association 2021).
- COV-IND-19 (2020): A national and state-level forecasting model and tracking database for COVID-19 transmission in India, developed in collaboration with the University of Michigan Biostatistics department (Harvard Data Science Review 2020). Featured in international media outlets including The Guardian, The World, and Newstalk Ireland.