Bayesian Probabilistic Numerical Methods. RICAM Workshop on Multivariate Algorithms and Information-Based Complexity, November 2018, Linz, Austria. (Plenary Talk)
Control Functionals. SPA2018, June 2018, Gothenburg, Sweeden. [Conference]
TBC. Bayes Comp, March 2018, Barcelona, Spain. [Conference]
Bayesian Probabilistic Numerical Methods. Cantab Capital Institute for the Mathematics of Information, November 2017, Cambridge, UK.
TBC, November 2017, Statistics Seminar Series, Newcastle University, UK.
Bayesian Probabilistic Numerical Methods. SAMSI Programme on Quasi Monte Carlo, August 2017, Duke University, North Carolina, USA. [Workshop]
An Introduction to Probabilistic Numerical Methods. Cloud Computing for Big Data CDT Seminar, May 2017, Newcastle University, UK.
Bayesian Probabilistic Numerical Computation. Statistics and Probability Seminar Series, March 2017, University of New South Wales, Sydney, Australia.
Bayesian Probabilistic Numerical Computation. HDA2017, February 2017, University of New South Wales, Sydney, Australia. [Conference]
It Works, It Actually Works! Australian Statistical Conference, December 2016, Canberra, Australia. [Conference]
Probabilistic Meshless Methods. School of Mathematical Sciences Colloquium, August 2016, University of Adelaide, Australia.
Probabilistic Meshless Methods. Statistics and Probability Seminar Series, July 2016, University of New South Wales, Australia.
Stein Operators on Hilbert Spaces. Business School Seminar Series, May 2016, University of Sydney, Australia. [Web]
Stein Operators on Hilbert Spaces. CSML Seminar Series, April 2016, University College London, UK. [Web]
The Role of the Statistician in Numerical Analysis. Mathematics Seminar Series, February 2016, University of New South Wales, Australia. [Web]
Variance Reduction for Doubly Intractable Likelihood Problems. MCMSki V (IMS-ISBA Joint Meeting), January 2016, Lenzerheide, Switzerland. [Conference]
An Overview of Probabilistic Numerical Methods. ACEMS Annual Retreat, November 2015, Adelaide, Australia.
Causal Inference and High-Throughput Proteomics. Work in Progress Sessions, October 2015, VicBiostat, Australia.
Probabilistic Integration. Mathematics and Statistics Seminar Series, August 2015, University of Technology Sydney, Australia.
Probabilistic Integration. Statistics Seminar Series, August 2015, University of Sydney, Australia.
Probabilistic Integration. Mathematics Seminar Series, July 2015, Queensland University of Technology, Australia.
A Formal Generalisation of Bayesian quadrature. Data, Learning and Inference (DALI 2015): Probabilistic Numerics, April 2015, La Palma (Canaries), Spain. [Workshop]
Conditional DAG Models for Proteomic Data Analysis. Data, Learning and Inference (DALI 2015): Networks – Processes and Causality, April 2015, La Palma (Canaries), Spain. [Workshop]
Searching for Evidence of Causal Relationships in Real-World Systems. Oxford and Warwick Statistics Programme, March 2015, University of Oxford, UK.
Control Functionals for Monte Carlo Integration. Statistics Seminar Series, February 2015, Newcastle University, UK.
Averaging, Revisited. CSML Seminar Series, February 2015, University College London, UK.
Control Functionals. Algorithms and Computationally Intensive Inference, January 2015, University of Warwick, UK. [Web]
Joint Estimation of Multiple Related Biological Networks. Workshop on Statistical Systems Biology, December 2014, University of Warwick, UK. [Conference]
Discussion of “Sequential Quasi-Monte Carlo” by Gerber and Chopin. Meeting of the Royal Statistical Society, December 2014, Royal Statistical Society, London, UK.
Control Functionals: A Surprising Link Between Inverse Problems and Asymptotically Efficient Monte Carlo and Quasi Monte Carlo Integration. Oxford and Warwick Statistics Programme, November 2014, University of Oxford, UK.
Exact Estimation of Multiple Directed Acyclic Graphs via Integer Linear Programming. Fourth Workshop on Algorithmic issues for Inference in Graphical Models (AIGM14), September 2014, AgroParisTech, Paris, France. [Abstract] [Conference]
Joint Estimation of Multiple Graphical Models: An Integer Linear Programming Approach. UK Causal Inference Meeting (UK-CIM): Causal Inference in Health, Economic and Social Sciences, April 2014, University of Cambridge, UK. [Conference]
Joint Structure Learning of Multiple Non-Exchangeable Networks. Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS), April 2014, Reykjavik, Iceland. [Conference]
An Integer Linear Programming Approach to Causal Inference in Protein Signalling Networks. Mathematical and Statistical Aspects of Molecular Biology (MASAMB), April 2014, University of Sheffield, UK. [Conference] [Abstract]
Bayesian Estimation of Multiple Graphical Models. ERCIM WG on Computational and Methodological Statistics, December 2013, University of London, UK. [Conference]
Network Inference and Dynamical Prediction Using Biochemical Kinetics. Dynamics of Biological Networks: From Nodes’ Dynamics to Network Evolution, June 2013, University of Edinburgh, UK. [Conference]
Statistical Analysis of Complex Systems in Molecular Biology. Warwick-Monash Alliance: Workshop on Modelling and Simulation. March 2013, Monash University, Melbourne, Australia. [Conference]
“What My Cells Say About Yours”: Joint Modelling of Network Heterogeneity Across a Panel of Breast Cancer Cell Lines. Annual Staff Evening of the Netherlands Cancer Institute. November 2012, Amsterdam, The Netherlands.
Causal Variable Selection Using Equilibrium Relations from Nonlinear Dynamics. Workshop on Causal Structure Learning, Uncertainty in Artificial Intelligence (UAI’12). August 2012, Santa Catalina, CA, USA. [Conference]
Network Inference Using Chemical Kinetics. Netherlands Bioinformatics Conference (NBIC). April 2012, Lunteren, The Netherlands. [Conference]
Responsible Interpretation of Large Datasets. Oncology Graduate School Amsterdam, Annual Retreat. October 2011, Texel, The Netherlands. [Conference] [Best Presentation Prize]