Epidemiology and Biostatistics
PhD, Statistics, University of ConnecticutMS, Statistics, University of ConnecticutMS, Applied Mathematics, Chennai Mathematical InstituteBS, Statistics, Presidency College
Aritra Halder is an assistant professor of Biostatistics in the Department of Epidemiology and Biostatistics, at the Dornsife School of Public Health, Drexel University. He completed his PhD in Statistics from the University of Connecticut in July, 2020.
His research interests are Bayesian modeling, Spatial and Spatiotemporal analysis, and Optimization.
His areas of applications include public health and policy, hydrology, climatology, computer vision and transcriptomics.
- Bayesian Modeling
- Spatiotemporal Statistics
- Spatial Statistics
Mukherjee, R., Halder, A., Naik, S., Sansare, S. and Chaudhuri, B. (2020). A Simplex Centroid Design to quantify triboelectric charging in pharmaceutical mixtures. Journal of Pharmaceutical Sciences, Elsevier.
Yang, C. and Halder, A. (2019). Categorical perception of Mandarin tones by native and second language (L2) speakers. In Proceedings of the 30th North American Conference on Chinese Linguistics, Columbus, Ohio. The Ohio State University.
Ray, D., Salvatore, M., Bhattacharyya, R., Wang, L., Du, J., Mohammed, S., Purkayastha, S., Halder, A., Rix, A., Barker, D., Kleinsasser, M., Zhou, Y., Bose, D., Song, P., Banerjee, M., Baladandayuthapani, V., Ghosh, P., Mukherjee, B. (2020) Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: Data science call to arms.
Halder, A., Mohammed, S., Chen, K. and Dey, D.K. Spatial Tweedie exponential dispersion models. Scandinavian Actuarial Journal https://doi.org/10.1080/03461238.2021.1921017.
Das, S., Halder, A. & Dey, D.K. (2017). Regularizing Portfolio Risk Analysis: A Bayesian Approach, Methodology and Computing in Applied Probability. 19(3) 865 -- 889.
See Dr. Halder's complete list of publications on Google Scholar