Presentations

Self-supervised learning for Bayesian experimental design
Corcoran Memorial Lecture, Department of Statistics, University of Oxford
Oxford, UK, 2024
[presentation]

Bayesian experimental design and inference for simulator models
Huawei Thames Summit and European Innovation Star Workshop, Cambridge, UK
Cambridge, UK, 2023
[presentation]

Decision making under uncertainty to accelerate approximate Bayesian computation
Statistics Seminar, School of Mathematics, University of Edinburgh, UK
online, 2022
[presentation]

Robust Optimisation Monte Carlo
ABC in Svalbard
online, 2021
[presentation]

Neural Approximate Sufficient Statistics
ANC Seminar, University of Edinburgh
online, 2021
[presentation]

Neural Approximate Sufficient Statistics
One World Approximate Bayesian Computation (ABC) Seminar
online, 2021
[presentation]

Statistical Applications of Contrastive Learning
Statistics Seminar, University of Bristol
online, 2021
[presentation]

Robust Optimisation Monte Carlo
Computational strategies for likelihood-free inference, SIAM Conference on Computational Science and Engineering
online, 2021
[presentation]

Variational noise-contrastive estimation of unnormalised latent variable models
Centre for Statistics Annual Conference
Edinburgh, 2019
[presentation]

Bayesian Inference and Experimental Design for Implicit Models
Institute of Industrial Science, University of Tokyo
Tokyo, Japan, 2019
[presentation]

Bayesian Inference and Experimental Design for Implicit Models
Okinawa Institute of Science and Technology
Okinawa, Japan, 2019
[presentation]

Robust Optimisation Monte Carlo
Department of Mathematics, Simon Fraser University
Vancouver, 2019
[presentation]

Robust Optimisation Monte Carlo
School of Mathematics, Statistics and Physics, Newcastle University
Newcastle, 2019
[presentation]

Robust Optimisation Monte Carlo
2nd Symposium on Advances in Approximate Bayesian Inference
Vancouver, 2019
[presentation]

Bayesian Inference and Experimental Design for Implicit Models
Workshop on Health Informatics in Action
Bayes Centre Edinburgh, 2018
[presentation]

Machine Learning for Complex Data Analysis
Helsinki AI Day
Helsinki, Finland, 2017
[presentation]

Bayesian Inference for Intractable Infectious Disease Models
Edinburgh Infectious Diseases: Big Data and Infection Workshop
Edinburgh, UK, 2017
[presentation]

Efficient Likelihood-Free Inference
Gatsby Neuroscience Unit
London, UK, 2017
[presentation]

Fast Statistical Inference for Complex Generative Models
Workshop on Quantum Information Technologies: Challenges and Applications
Edinburgh, UK, 2017
[presentation]

Bayesian Inference by Density Ratio Estimation
Dept of Computer Science, University of Oxford
Oxford, UK, 2017
[presentation]

Bayesian Inference by Density Ratio Estimation
Workshop in Inverse Problems and Data Science
Edinburgh, UK, 2017
[presentation]

Likelihood-Free Inference: An Introduction to My Research
NQIT Seminar, University of Edinburgh
Edinburgh, UK, 2017
[presentation]

Modelling the Model for Approximate Bayesian Computation
BIRS Workshop on Validating and Expanding Approximate Bayesian Computation Methods
Banff International Research Station, Banff, Alberta, Canada, 2017
[presentation]

Noise-contrastive estimation of unnormalised statistical models
School of Mathematics, University of Edinburgh
Edinburgh, UK, 2016
[presentation]

Bayesian Inference via Classification
ANC Seminar
Edinburgh, UK, 2016
[presentation]

Fast Likelihood-Free Inference via Bayesian Optimization
ABCruise
Helsinki, Finland, 2016
[presentation]

Noise-Contrastive Estimation and its Generalizations
CRiSM Workshop: Estimating Constants
Department of Statistics, University of Warwick, Coventry, UK, 2016
[presentation]

Statistical applications of contrastive (self-supervised) learning
CDT in Statistics, University of Bristol
Bristol, UK, 2024
[presentation]

Statistical applications of contrastive (self-supervised) learning
7th Workshop on Models and Learning in Clustering and Classification (MBC2)
Catania, Italy, 2024
[presentation]

Accelerating Approximate Bayesian Computation with Kernels and Decision Making under Uncertainty
Winter School, University of Bern, Switzerland
online, 2022
[presentation]

Tutorial on Approximate Bayesian Computation
ABC in Edinburgh
Edinburgh, 2018
[presentation]

Efficient Statistical Inference for Intractable Models
ThinkTank Maths (industry engagement)
Edinburgh, UK, 2017
[presentation]

Bayesian Optimization for Likelihood-Free Inference
Gaussian Process and Uncertainty Quantification Summer School
Sheffield, UK, 2016
[presentation]

Tutorial on Approximate Bayesian Computation
ABCruise
Helsinki, Finland, 2016
[presentation]

A Short Introduction to the Lasso Methodology
Research group in Statistics and Biostatistics, Department of Mathematics, University of Oslo
Oslo, Norway, 2016
[presentation]

Deep Learning
Royal Institute of Technology (KTH)
Stockholm, Sweden, 2015

Approximate Bayesian Computation
Royal Institute of Technology (KTH)
Stockholm, Sweden, 2015