Email s.mishra@nus.edu.sg

Dr. Swapnil Mishra is primarily working at the intersection of global health, machine learning and Bayesian modelling. His research focuses on applying and developing statistical machine learning techniques for the broader and messier world of science and public policy, especially global health. He develops flexible and scalable models for understanding various spatiotemporal data, for example, epidemics (COVID-19, Malaria, HIV) and crime. He co-founded “Machine Learning & Global Health Network” with researchers from Imperial College London, University of Oxford, Technical University of Kaiserslautern, and the University of Copenhagen.

• NUS Saw Swee Hock School of Public Health (Primary)
• NUS Institute of Data Science (Joint)

• Infectious Disease Modelling
• Hierarchical Bayesian Modelling
• Renewal Processes
• Stochastic Point Processes
• Generative Deep Learning
• Online Information Diffusion
• Bayesian Phylogenetics

• B.Eng., University of Pune, 2009
• Masters Computing (Hons.), The Australian National University, 2014
• Ph.D., The Australian National University, 2019

• Singapore NRF Fellowship (Class of 2023)
• Queen’s Anniversary Prize (Imperial College COVID-19 Response Team), 2021
• SPI-M-O Award for Modelling and Data Support (SAMDS), 2022
• Blackwell-Rosenbluth Award, 2022

• Research Fellow, Imperial College London, 2019-2021
• Assistant Professor, University of Copenhagen, 2021-2023

• New York State: Advisory group for COVID-19 response, 2020
• Herbert Smith Freehils: Advisory group for COVID-19 response,2020

• Mishra, S., Flaxman, S., Berah, T., Zhu, H., Pakkanen, M., & Bhatt, S. (2022). $\pi $VAE: a stochastic process prior for Bayesian deep learning with MCMC. Statist. Comput., 32(6), 96–16.
• Faria, N. R.*, Mellan, T. A.*, Whittaker, C.*, Claro, I. M.*, da S. Candido, D.*, Mishra, S.*, …Sabino, E. C. (2021). Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil. Science, 372(6544), 815–821. (Equal contribution first author)
• Sharma, M., Mindermann, S., Rogers-Smith, C., Leech, G., Snodin, B., Ahuja, J., …, Mishra, S.**, Bhatt, S.**, Brauner, J. M.** (2021). Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe. Nat. Commun., 12(5820), 1–13. (Equal contribution senior author)
• Mishra, S., Scott, J. A., Laydon, D. J., Flaxman, S., Gandy, A., Mellan, T. A., …Bhatt, S. (2021). Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling. Sci. Rep., 11(16342), 1–9.
• Volz, E.*, Mishra, S.*, Chand, M.*, Barrett, J. C.*, Johnson, R.*, Geidelberg, L., …The COVID-19 Genomics UK (COG-UK) consortium. (2021). Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England. Nature, 593(7858), 266–269. (Equal contribution first author)
• Flaxman, S.*, Mishra, S.*, Gandy, A.*, Unwin, H. J. T., Mellan, T. A., Coupland, H., …Team, I. C. C.-1. R. (2020). Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature, 584(7820), 257–26. (Equal contribution first author)
• Mohler, G., Mishra, S., Ray, B., Magee, L., Huynh, P., Canada, M., …Flaxman, S. (2021). A modified two-process Knox test for investigating the relationship between law enforcement opioid seizures and overdoses. Proc. R. Soc. A., 477(2250), 20210195.
• Mishra, S., Rizoiu, M.-A., & Xie, L. (2016). Feature Driven and Point Process Approaches for Popularity Prediction. CIKM ’16

View the detailed list of publications here.

View Dr Mishra’s full profile here.