Ph.D. Student Profile

Rupam   Bhattacharyya, BS, MS

Rupam Bhattacharyya, BS, MS

  • Doctoral Candidate
  • Cognate: Biostatistics


  • MS Applied Statistics  (2018)
  • BS Statistics (2016)

Research Interests & Projects

Applications: Data Integration, Precision Medicine, Clinical Oncology, Infectious Diseases. Methods: Bayesian Inference & Machine Learning, Graphical Regression, Regression Trees, Epidemiological Models, Autoregression Models, Time Series Analysis.

Selected Publications

Peer-reviewed Research
  • Ray, D., Bhattacharyya, R., & Mukherjee, B. (2021). Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al. Statistics and Its Interface, 14(1), 25-28.
  • Salvatore, M., Basu, D., Ray, D., Kleinsasser, M., Purkayastha, S., Bhattacharyya, R., & Mukherjee, B. (2020). Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations. BMJ open, 10(12), e041778.
  • Ray, D., Salvatore, M., Bhattacharyya, R., Wang, L., Du, J., Mohammed, S., ... & 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. Harvard data science review, 2020(Suppl 1).
  • Bhattacharyya, R., Ha, M. J., Liu, Q., Akbani, R., Liang, H., & Baladandayuthapani, V. (2020). Personalized network modeling of the pan-cancer patient and cell line interactome. JCO clinical cancer informatics, 4, 399-411.
  • Liu, Q., Ha, M. J., Bhattacharyya, R., Garmire, L., & Baladandayuthapani, V. (2020, January). Network-based matching of patients and targeted therapies for precision oncology. In Pacific Symposium on Biocomputing (Vol. 25, No. 2020, pp. 623-634).

Preprints Available
  • Bhattacharyya, R., Rama, S., Kumar, A., & Banerjee, I. (2021). Dynamic Structural Impact of the COVID-19 Outbreak on the Stock Market and the Exchange Rate: A Cross-country Analysis Among BRICS Nations. arXiv preprint arXiv:2102.05554.
  • Purkayastha, S., Bhattacharyya, R., Bhaduri, R., Kundu, R., Gu, X., Salvatore, M., ... & Mukherjee, B. (2020). A comparison of five epidemiological models for transmission of SARS-CoV-2 in India. medRxiv.
  • Bhattacharyya, R., Bhaduri, R., Kundu, R., Salvatore, M., & Mukherjee, B. (2020). Reconciling epidemiological models with misclassified case-counts for SARS-CoV-2 with seroprevalence surveys: a case study in Delhi, India. Medrxiv.
  • Banerjee, I., Kumar, A., & Bhattacharyya, R. (2020). Examining the Effect of COVID-19 on Foreign Exchange Rate and Stock Market - An Applied Insight into the Variable Effects of Lockdown on Indian Economy. arXiv preprint arXiv:2006.14499.