Miscellaneous

  • Panelist on the Learning Bayesian Statistics podcast discussing “Quantifying uncertainty in Bayesian Deep Learning” along Francois-Xavier Briol (UCL) and Yigzhen Li (Imperial)

Our work on the growing gender disparity in HIV infection in Africa was featured in

  • Global UNAIDS Report 2023 used results from our study on the growing gender disparity in HIV infection in Africa disseminating valuable insights to catalyze HIV prevention efforts in high-burden settings and inform policy-making decisions.
  • AIDSMAP covered our study

Our work on the age groups that sustained the resurging COVID-19 epidemics in the United States in 2021 was featured in

  • The Washington Post discussing “What we known about the impact of COVID-19 on Children”
  • The New York Times mentioning how “Markov Chain Monte Carlo methods are applied […] to modelings of Covid-19’s spread.”
  • The Guardian presenting our findings, “working-aged adults 20-49 were the most likely to transmit the disease to more than one person.”