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Seminars and talks

  • "Generalized Bayesian likelihood-free inference using scoring rules estimators", Invited Talk in Bayes4Health workshop on 14-16th September 2021 in Cambridge, UK. [Event]
  • "Generalized Bayesian likelihood-free inference using scoring rules estimators", Talk in 10th World Congress in Probability and Statistics in the invited session on Approximate Bayesian Computation on 19-23rd July, 2021. [Event]
  • "Score Matched Conditional Exponential Families for Likelihood-Free Inference", Talk in "2021 World Meeting of the International Society for Bayesian Analysis" at the contributed session C03: Approximate and Flexible inference on 28th June. [Event|Video]
  • "Using mobility data in the design of optimal lockdown strategies for the COVID-19 pandemic", Talk in 4th International Conference on Econometrics and Statistics in the session E0376: Statistical methods in phylogeny, population genetics and covid research on 24th June, 2021. [Event]
  • "COVID-19: Optimal Lockdown", Talk in "CompBioMed All-Hands Meeting 2021" on 23rd June 2021. [Event]
  • "Score Matched Conditional Exponential Families for Likelihood-Free Inference", Talk in "ABC in Svalbard" workshop on 12th April at 2:30 PM. [Event|Video]
  • "ABCpy: a Package for State-of-the-art Likelihood-Free Inference Techniques", My PhD student Lorenzo Pacchiardi talking about our joint work in "ABC in Svalbard" workshop on 12th April at 9AM. [Event|Video]
  • "Score Matched Conditional Exponential Families for Likelihood-Free Inference", Statistics seminar, Department of Statistics, Imperial College London, Friday, 12 February 2021Tim. [Event]
  • "Optimal lockdown with Google mobility", Mathematics of Big Data: Lessons from COVID-19, The Institute of Mathematics and its Applications (IMA), UK, December 15, 2020. [Event|Video]
  • Probabilistic downscaling to detect regional present and future climate hazards, (with Dr. Sherman Lo) Machine Learning Seminar Series, ECMWF, 28 April 2020. [Event|Video]
  • “Parameter estimation of platelets deposition: Approximate Bayesian computation with high performance computing”, Center for advanced modeling science day 2017: HPC & DataScience, November 17, University of Lausanne, Switzerland.
  • “ABC: with a pinch of classification and HPC”, 19th ÖMG Congress and Annual DMV Meeting, Statistics Day, 11-15 September, Salzburg, Austria.
  • "Approximate Bayesian Computation to quantify parameter and model uncertainty with applications to systems of differential equations”, The 2016 Fomics winter school on uncertainty quantification, 14-16 December 2016, Lugano, Switzerland.
  • “Bayes Model Selection with Path Sampling”, The 2013 International Workshop on Bayes Model Selection, 14-18 January 2013, Shanghai, China.