Swapnil Mishra

Dr. Swapnil Mishra is an Assistant Professor at the NUS Saw Swee Hock School of Public Health and the NUS Institute of Data Science. His work bridges global health challenges with machine learning and Bayesian modelling, focusing on spatiotemporal data analysis for epidemics and public policy. He co-founded the Machine Learning & Global Health Network with leading international institutions.

Education:

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

Research Interests: His research encompasses infectious disease modelling, hierarchical Bayesian approaches, and generative deep learning. He develops scalable models to understand epidemics like malaria and HIV, while also exploring crime patterns and online information diffusion.

Key Contributions: Notable work includes SARS-CoV-2 lineage analysis in Brazil, evaluating non-pharmaceutical interventions during the pandemic, and developing the πVAE framework for Bayesian deep learning. His research often addresses real-world policy challenges, such as pandemic preparedness and disease surveillance.

Awards:

• Singapore NRF Fellowship (2023)
• Queen’s Anniversary Prize (2021)
• SPI-M-O Award (2022)
• Blackwell-Rosenbluth Award (2022)

Advisory Roles: Advised New York State and Herbert Smith Freehills on pandemic response strategies. His work integrates academic research with practical policy solutions.

Labs/Teams: Leads interdisciplinary collaborations through the Machine Learning & Global Health Network, fostering global health science innovation.