Background

Awards and Prizes

  • 2018 Best Student Paper (supervised), ASA Section on Bayesian Statistical Science, JSM 2018. [JSM] [Photo]

  • 2017 Outstanding Reviewer Award, NIPS 2017. [Web] (3.6%)

  • 2017 Biennial Research Prize of the Royal Statistical Society. [RSS] [ACEMS] [Video]

  • 2016 Best Student Paper (supervised), ASA Section on Bayesian Statistical Science, JSM 2016. [JSM]

  • 2014 Best Paper, European Conference on Computational Biology (ECCB) 2014. [ECCB] (750 EU)

  • 2012 Best Presentation, Amsterdam Oncology Graduate School Annual Retreat. (250 EU)

  • 2009 Fröhlich Prize for Mathematics, Robinson College Cambridge.

Editorial

  • 2016 – Associate Editor for Statistics and Computing (Springer).

  • 2018 – 2019 Editor for a Special Issue of Statistics and Computing on Probabilistic Numerics.

Funding

  • 2019 – 2021 Fellowship in Data-Centric Engineering (100% Salary), the Alan Turing Institute, UK.

  • 2018 – 2019 Turing Fellowship (20% Salary), the Alan Turing Institute, UK.

  • 2018 – 2022 Co-Investigator on "Approximate Bayesian computation with application to 3D printing" (191,700 EUR). SFI-EPSRC Lead Agency Agreement, University College Dublin, IE, and the Alan Turing Institute, UK.

  • 2018 Principal Investigator on "Overcoming Uncertainty in Legacy Engineering Resilience Modelling for Flood Hazards" (22,380 GBP FEC), Models 2 Decisions Feasibility Fund.

  • 2018 – 2020 Co-Investigator on "Quantifying Functional Co-Variation in Calcium Handling Proteins in Cardiac Myocytes" (196,538 GBP FEC), BHF-Turing Cardiovascular Data-Science Award, British Heart Foundation and the Alan Turing Institute, UK.

  • 2018 Cambridge Philosophical Society Bursary to spend time at the Isaac Newton Institute, Cambridge, UK. (500 GBP)

  • 2017 – 2020 Secondment to the Lloyd's Register Foundation programme on data-centric engineering at the Alan Turing Institute, UK. (105,000 GBP)

  • 2015 VicBiostat Visiting Fellowship. (2,000 AUD)

  • 2015 – 2017 ARC Research Fellowship, University of Technology Sydney.

  • 2013 – 2015 CRiSM Research Fellowship, University of Warwick.

Working Groups

Extended Visitors Hosted

  • 2019 Tui Nolan (University of Technology Sydney), Leah South (Lancaster University), Toni Karvonen (Aalto University), Earl Duncan (Queensland University of Technology), Victoria Stephenson (University of Bath), Kevin Briggs (University of Bath)

  • 2018 Wilson Chen (University of Technology Sydney), Deniz Akyildiz (Carlos III University, Madrid), Chris Drovandi (Queensland University of Technology), Toni Karvonen (Aalto University), Filip Tronarp (Aalto University), Simo Särkkä (Aalto University)

PhD Theses Examined

  • 2019 Christian Davey, Monash University, Australia - Bayesian Adaptive Independence Sampling with Latent Variables.

  • 2018 Onur Teymur, Imperial College London, UK - Topics in the Probabilistic Solution of Ordinary Differential Equations.

  • 2017 Nathan Owen, University of Exeter, UK - A Comparison of Polynomial Chaos and Gaussian Process Emulation for Uncertainty Quantification in Computer Experiments.

Interview Panels

  • 2019 Lecturer in Statistics, University College Dublin, IE.

Conference Reviewing Service

  • NeurIPS 2016, 2017, 2018, 2019 [Web]

  • AISTATS 2016, 2017, 2018, 2020 (meta-reviewer) [Web]

  • IJCAI 2015 (machine learning track) [Web]

Paper Reviewing Service

  • Bayesian Anal.

  • Bioinformatics

  • Biometrika

  • BMC Syst. Biol.

  • Commun. Comput. Phys.

  • Electron. J. Stat.

  • Int. J. Intell. Syst.

  • J. Appl. Probab.

  • J. Comp. Graph. Stat.

  • J. R. Soc. Interface

  • J. R. Statist. Soc. C

  • Mach. Learn.

  • Math. Biosci.

  • Methodol. Comput. Appl.

  • SIAM J. Sci. Comput.

  • SIAM J. Uncertainty Quantification

  • Stat. Appl. Genet. Mo. B.

  • Stat. Comput.

  • Stat. Method App.

Grant Reviewing Service

  • EPSRC Standard Grant

  • Horizon 2020

  • NERC Landscape Decisions

Organised Conferences & Workshops

  • Stein’s Method for Machine Learning and Statistics, June 2019 @ ICML, California, USA. [Web] [Videos]

  • Evolution of Data-Centric Engineering, September 2018, RSS Annual Conference @ Cardiff, UK. [Web]

  • Max Ent, July 2018, Alan Turing Institute, UK. [Web]

  • Minisymposium on Probabilistic Numerical Methods for Quantification of Discretisation Error. April 2018 @ SIAM UQ, Orange County, CA, USA. [Web] [Part I] [Part II] [Part III]

  • Meeting of the SAMSI Probabilistic Numerics Working Group. April 2018, Alan Turing Institute, UK. [Web]

  • Data Sciences for Climate and Environment, March 2018, Alan Turing Institute, UK. [Web]

  • Grand Challenges in Data-Centric Engineering. September 2017, RSS Annual Conference @ Strathclyde, UK. [Web]

  • Probabilistic Numerics. August 2016, MCQMC @ Stanford, California, USA. [Web]

  • Algorithms for Intractable Problems. January 2016, MCMSki @ Lenzerheide, Switzerland. [Web]

  • Probabilistic Integration: Integrating Inference With Integration. January 2016, MCMSki @ Lenzerheide, Switzerland. [Web]

  • Julia for Statisticians. November 2015, University of Technology Sydney. [Web] 

  • Probabilistic Numerics for Differential Equations. April 2015, Warwick, UK. [Web]

  • Statistical Systems Biology. December 2014, Warwick, UK. [Web]

  • Inference and Control for Complex Dynamical Systems. November 2012, Warwick, UK. [Web]

Media and Engagement

  • 2017 Programme on Data-Centric Engineering at the Alan Turing Institute. [Web]

  • 2017 Biennial Research Prize of the Royal Statistical Society. [RSS] [ACEMS]

  • 2017 Gave evidence to the NSW State Parliament on housing regulation. More frivolously, I featured in a lobbying advert. [Video]