Swapnil Mishra

Swapnil Mishra

Assistant Professor of Machine Learning and Public Health

National University of Singapore

I am an Assistant Professor at National University of Singapore (NUS), where I am primarily working at intersection of public health, machine learning and Bayesian modelling. I am part of Machine Learning & Global Health Network, which is a multi-country and multi-organisation network focused on doing fundamental research in machine learning and problems related to global health.

My research focuses on applying and developing statistical machine learning techniques for the broader and messier world of science and public policy, especially global health. I develop flexible and scalable models for understanding various spatiotemporal data, for example, epidemics (COVID-19, Malaria, HIV) and crime. For my doctorate, I built models for understanding the evolution of popularity in social media. My work focused on algorithms to model point processes with classical machine learning techniques as well as using modern deep learning networks, mainly recurrent networks.

Interests
  • Bayesian Machine Learning
  • Deep Generative Modelling
  • Renewal Processes
  • Online Information Diffusion
  • Stochastic Point Processes
  • Computational Statistics
Education
  • PhD in Machine Learning, 2019

    The Australian National University

  • MS(Hons.) in Artificial Intelligence, 2014

    The Australian National University

  • BE in Computer Engineering, 2009

    University of Pune

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