Invited Talks, Lectures & Tutorials since 2019

Lectures & Tutorials

• Autumn School in Bayesian Statistics, Marseille, France, 2023.
• Greek Stochastics μ', Causal Learning, Corfu, Greece, 2022.
• Cambridge Ellis Machine Learning Summer School, Cambridge, UK, 2022.
• Oxford Machine Learning Summer School, 2021.
• 4th Advanced Online & Onsite Course on Data Science & Machine Learning, Certosa di Pontignano, Italy, 2021.
• Mediterranean Machine Learning Summer School, 2021.
• ETH Zurich Course Causal Representation Learning, 2020.
• ICML 2019 tutorial Safe Machine Learning. Recording available at SlidesLive.
• Advanced Topics in Machine Learning: Fairness and Machine Learning, Technical University of Denmark, 2019.
• Machine Learning MSc, Applied Machine Learning Module, Department of Computer Science, UCL, UK, 2019.
• Tutorial on Fairness in Machine Learning, INNS Big Data and Deep Learning, Sestri Levante, Italy, 2019.

Invited Talks

• Causal Data Science Meeting, 2022.
• IMS Annual Meeting in Probability and Statistics, London, UK, 2022.
• Inspiration Exchange, 2022.
• Cambridge Ellis Unit Seminar Series, Cambridge, UK, 2022.
• Simons Workshop: Algorithmic Aspects of Causal Inference, Berkeley, USA, 2022.
• NeurIPS 2021 Workshop Algorithmic Fairness through the Lens of Causality and Robustness, 2021.
• BCAM Workshop on Algorithmic Fairness, 2021.
• Women and Non-binary People in Mathematics: Opportunities for the uture, University of Bristol, 2020.
• Oxford Computational Statistics and Machine Learning Seminar Series, University of Oxford, UK, 2020.
• SPP Italy 2019, Cambridge, UK, 2019.
• Generative Models and Uncertainty Quantification, Technical University of Denmark, 2019.
• ELLIS: Robust Machine Learning, DALI Meeting, San Sebastian, Spain, 2019.
• Advances in Data Science, University of Manchester, UK, 2019.