Swapnil Mishra

Swapnil Mishra

Assistant Professor of Machine Learning and Public Health

University of Copenhagen

I am an Assistant Professor at University of Copenhagen (UCPH), where I am primarily working at intersection of public health, machine learning and Bayeasian modelling. Before this I was fortunate enough spend my Post-doc years at School of Public Health, Imperial College London, where I worked primarily with Professor Samir Bhatt and Dr. Seth Flaxman. I am working with colleagues at Imperial College London, University of Oxford and UCPH to model spread of COVID-19. I did my Ph.D. at Research School of Computer Science, The Australian National University under the supervision of Professor Lexing Xie and Dr Marian-Andrei Rizoiu. I have also worked with Professor Wray Buntine at Monash University.

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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