Scholar
Swapnil Mishra
Google Scholar ID: RqbpaXcAAAAJ
Assistant Professor at National University of Singapore
Citations & Impact
Citations
19,317
H-index
40
i10-index
59
Publications
20
Co-authors
95
list available
Publications
Resume (English only)
Academic Achievements
- Published works include 'π VAE: a stochastic process prior for Bayesian deep learning with MCMC' (Statistics and Computing, January 2022) and 'Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil' (Science, April 2021). The former introduces a novel variational autoencoder (𝜋VAE), while the latter reports on the emergence of a new SARS-CoV-2 variant, P.1, in Manaus, Brazil.
Research Experience
- Research interests include infectious disease modeling, hierarchical Bayesian modeling, renewal processes, online information diffusion, stochastic point processes, and generative deep learning. During his doctorate, he developed models for understanding the evolution of popularity in social media, using both classical machine learning techniques and modern deep learning networks, mainly recurrent networks.
Education
- PhD in Machine Learning from The Australian National University in 2019; MS (Hons.) in Artificial Intelligence from The Australian National University in 2014; BE in Computer Engineering from Maharashtra Institute of Technology in 2009.
Background
- Assistant Professor at the National University of Singapore, focusing on public health, machine learning, and Bayesian modeling. Part of the Machine Learning & Global Health Network, a multi-country, multi-organization network dedicated to fundamental research in machine learning and global health issues.
