Infectious disease scientist using multiple sources of data, statistical methods, and stochastic models to understand how pathogens spread.

Research Interests

  • Dynamic and stochastic models of infectious diseases
  • Statistical inference/learning - how to infer unobserved quantities and predict future events
  • Sequential Monte Carlo methods
  • Phylodynamics - using genetic data to understand how infectious diseases spread



  • PhD in Infectious Disease Epidemiology @ Imperial College London, UK (2013-2017)
  • Computational Biology MPhil with Distinction @ University of Cambridge, UK (2012-2013)
  • Biology BSc with First Class Honours @ Imperial College London, UK (2009-2012)


  • Time-series Analysis in Infectious Disease Epidemiology, Stat 131, Harvard University Department of Statistics (2017)

Life outside of science

  • Treasurer of Harvard Chan Postdoctoral Association (2017-2018)
  • President of Imperial College Yoga Club (2014-2015)
  • Treasurer of Imperial College Badminton Club (2011-2012)
  • Piano tutor (2009)