Swapnil Mishra
Research Scientist at National University of Singapore
Singapore, India
Summary
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RockstarSwapnil Mishra is a research scientist with a decade of experience at the intersection of infectious disease modelling and machine learning for public health. Based in Singapore and affiliated with the National University of Singapore as an assistant professor, he applies data-driven approaches to understand epidemic dynamics and inform policy. His open-source contributions include enhancing the widely referenced Imperial College London COVID-19 model, where he improved plotting, code structure, and reproducibility of model runs and results. Comfortable moving between research and code, he blends statistical modelling, visualization, and practical software tweaks to make complex models more interpretable and usable. Colleagues value his ability to translate rigorous methods into clear tools for public-health decision making.
10 years of coding experience
Github Skills (9)
data-visualizations10
data-visualization10
data-visualisation10
statistical-models10
ggplot10
r10
data-analysis10
bayesian9
bayesian-statistics9
Programming languages (6)
Github contributions (5)
ImperialCollegeLondon/covid19model
Mar 2020 - Mar 2021
Code for modelling estimated deaths and cases for COVID19.
Role in this project:
Data Scientist
Data ScientistContributions:15 releases, 1 review, 145 commits in 1 year
Contributions summary:Swapnil contributed to the code for modeling estimated deaths and cases for COVID19. The primary focus of their commits was on modifications to the plotting functions and the base R script used for the model. The user tweaked plotting changes to work, and made aesthetic changes to code structure and the paper's runs and results.
casespythondeathsmachine-learningestimated
CADDE-CENTRE/covid19_brazil_hfr
Oct 2021 - Mar 2022
Contributions:7 commits, 1 PR, 4 pushes in 5 months
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