Miscellaneous
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Panelist on the Learning Bayesian Statistics podcast discussing Quantifying uncertainty in Bayesian Deep Learning along Francois-Xavier Briol (UCL) and Yigzhen Li (Imperial)
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The University of Geneva wrote a featured story on my publications in impact journals during my PhD.
HIV related research
Our work the “Growing gender disparity in HIV infection in Africa” (Monod, 2023) was featured in
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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.
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AIDSMAP covered our study
COVID-19 related research
Our work on “Age groups that sustain resurging COVID-19 epidemics in the United States” (Monod, 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.”