Presentations

I regularly present my work, for example at conferences and in lectures. Here is a non-exhaustive list:

Talks

• Efficient accurate and robust statistical inference for deterministic and stochastic models of biochemical systems
  PhD defense, Garching/Neuherberg, Germany, 2022-06-01
• Learning informative and robust distances and summary statistics in ABC
  Helmholtz Munich Computational Health Group Day, 2021-09-30
• Parameter inference in Computational Biology
  OpenSourceEconomics Scientific Computing Seminar, Bonn, Germany, 2021-01-26
• pyABC: Statistical inference without a likelihood?
  OpenSourceEconomics Meetup, Bonn, Germany, 2020-11-10
• Efficient Exact Inference for Dynamical Systems with Noisy Measurements using Sequential Approximate Bayesian Computation
  ISMB Conference, Montréal, Canada, 2020-07-16
  See also the recorded talk
• (py)ABC: it's easy
  New Vistas Conference, Vigo, Spain, 2019-05-24
• Approximate Bayesian Computation for Parameter Estimation of Complex Stochastic Models
  CRM SNS Workshop, Pisa, Italy, 2018-10-03
• Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
  FOSBE Conference, Chicago, USA, 2018-08-07
• pyABC - A framework for distributed likelihood-free inference
  SBMC Conference, Bremen, Germany, 2018-07-05

Posters

• Robustly account for informativeness in ABC via inverse ML models
  SBMC Conference, Heidelberg, Germany, 2021-05-11
• Learning robust summary statistics and cost functions in ABC
  INCOME Conference, Bonn, Germany, 2021-03-01
• Noise Up Your ABC
  e:Med Meeting, Bonn, Germany, 2020-11-24
• Efficient noise assessment in sequential ABC
  INCOME Conference, Berlin, Germany, 2019-11-25
• pyABC: scalable likelihood-free inference
  INCOME Conference, Bernried, Germany, 2018-10-15