Indranil Sahoo, Ph. D.
Associate Professor
Department of Statistical Sciences & Operations Research
Virginia Commonwealth University
Office: 4127 Harris Hall,1015 Floyd Avenue, Richmond, VA 23284 |
Email: sahooi@vcu.edu
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Research
Research
With advancements in modern technology, large-scale data are available in various scientific fields including, but not limited to, climate science, meteorology, biology, genomics, epidemiology and public health administration, and social sciences. The use of statistics has expanded rapidly into these fields, which demand fast, real-time computational algorithms able to analyze such data sets from novel sources. My research is primarily driven by questions arising in these scientific fields and focuses on making novel methodological and computational advancements in the field of statistics, in order to answer these questions. My research focuses on analyzing high-dimensional spatio-temporal datasets, principally motivated by these questions. For example, how can we estimate wind speed and direction from high-resolution satellite images? How can we predict arsenic concentration in groundwater at locations where arsenic concentration observations are censored? What are the primary drivers of PFAS contamination in groundwater? How can we model lung cancer cases at the zip code level, after accounting for missing covariate information? Are some genetic pathways spatially varying?
Much of my research efforts are devoted to modeling and analyzing spatio-temporal data using Gaussian process models. While Gaussian process models are a powerful tool for analyzing such datasets, they require careful consideration before implementation and can impart huge computational burdens if used naively. My current research also focuses on developing explainable machine learning and deep neural network models for predicting and quantifying uncertainties in spatio-temporal data.
I work on a number of interesting problems including, modeling geostatistical satellite images, climate model ensembles, soil pollution, climate change, dynamic systems, epidemiological modeling, statistical genetics, support networks and migration of refugees.
Recent Publications
Amona, E. B., Sahoo, I., Boone, E. L., & Ghanam, R. (2025). "Studying Disease Reinfection Rates, Vaccine Efficacy, and the Timing of Vaccine Rollout in the Context of Infectious Diseases: A COVID-19 Case Study". International Journal of Environmental Research and Public Health, 22(5), 731.
Sahoo, I., Zhao, J., Deng, X., Cockburn, M.G., Tossas, K., Winn, R. and Bandyopadhyay, D. (2024) "Lung Cancer Prevalence in Virginia: A Spatial Zipcode-Level Analysis via INLA". Curr. Oncol., 31, 1129-1144. DOI: https://doi.org/10.3390/curroncol31030084
Amona, E. B., Ghanam, R., Boone, E.L., Sahoo, I., and Abu-Raddad, L. (2024) "Incorporating Interventions to an Extended SEIRD Model with Vaccination: Application to COVID-19 in Qatar''. Journal of Data Science, Vol. 22, No. 1, 97-115. DOI: https://doi.org/10.6339/23-JDS1105
**Winner of 2023 International Indian Statistical Association Conference Student Paper Competition (Category: Application of Statistics and Data Sciences)
Sahoo, I., Guinness, J., and Reich, B.J. (2023) "Estimating Atmospheric Motion Winds from Satellite Image Data using Space-time Drift Models''. Environmetrics 34 (8), e2818. DOI: http://doi.org/10.1002/env.2818
Software
Check out my GitHub site: https://github.com/indranil09
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