Employment / Affiliations
2024 – 2026 Affiliate Professor of Statistics, Department of Mathematics, King’s College London, UK.
2018 – present Professor of Statistics, School of Mathematics and Statistics, Newcastle University, UK.
2018 – present Turing Fellow, The Alan Turing Institute, UK.
2017 – 2023 Group Leader, Program on Data-Centric Engineering, The Alan Turing Institute, UK.
2017 – 2018 Senior Lecturer, School of Mathematics and Statistics, Newcastle University, UK.
2015 – 2017 Research Fellow, ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS), University of Technology Sydney, Australia.
2013 – 2015 Research Fellow, Centre for Research in Statistical Methodology (CRiSM), University of Warwick, UK.
2011 – 2012 PhD (visiting), Mukherjee Lab, Dept. Biochemistry, Nederlands Kanker Instituut, Amsterdam, NL.
2010 – 2013 PhD, Centre for Complexity Science, University of Warwick, UK.
2009 – 2010 MSc, Complexity Science, University of Warwick, UK. [Distinction]
2006 – 2009 BA, Mathematics, University of Cambridge, UK. [Robinson College; Class I]
Achievements
2023 Leverhulme Prize (for Mathematics and Statistics). [Article] [Web]
2022 Best Student Paper (supervised - Takuo Matsubara), ASA Section on Bayesian Statistical Science, JSM 2022. [Web]
2021 Best Student/Postdoc Contributed Paper Award (supervised - Takuo Matsubara) at ISBA 2021.
2020 Most Highly Cited Paper in SIAM Review (Top 3; 2018-2020). [Article]
2018 Best Student Paper (supervised - Jon Cockayne), 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 - François-Xavier Briol), 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
2022 - present Action Editor for the Journal of Machine Learning Research.
2022 – 2024 Associate Editor for Bernoulli (Bernoulli Society for Mathematical Statistics and Probability)
2022 – 2023 Associate Editor for a Journal of the Royal Statistical Society, Series B, discussion paper call.
2021 – present Area Chair for NeurIPS.
2020 – present Area Chair for AISTATS.
2016 – 2022 Associate Editor for Statistics and Computing (Springer).
2018 – 2019 Editor for a Special Issue of Statistics and Computing on Probabilistic Numerics.
Funding
2024 – 2026 Turing Fellowship, the Alan Turing Institute, UK.
2024 – 2027 Leverhulme Prize (Mathematics and Statistics, 2023; 100,000 GBP). The Leverhulme Trust.
2023 Co-Investigator on Probabilistic Numerics Network Grant (20,000 GBP). Isaac Newton Institute.
2022 – 2028 Co-Investigator on “NUData”, an STFC Centre for Doctoral Training in Data Intensive Science (1,086,584 GBP). STFC (ST/W006790/1).
2022 – 2026 Principal Investigator on “Harnessing the Power of Stein Discrepancies in Bayesian Computation“ (704,773 GBP). EPSRC (EP/W019590/1).
2021 – 2024 Co-Investigator on “Measuring and Modelling Atrial Mechanics in Health and Heart Failure” (315,477 GBP). British Heart Foundation (PG/21/10534).
2020 Principal Investigator on “Probabilistic Approaches to Numerical Computation” (6,300 GBP). Heilbronn Institute Focused Research Grant. [Web]
2020 Co-Investigator on “Modelling the Heart's Chemical Signals” (27,000 USD). Alan Turing Institute Azure Funding.
2020 – 2025 Co-Investigator on “Selecting Rhythm or Rate Control in Patients with both Atrial Fibrillation and Heart Failure” (691,686 GBP). British Heart Foundation Programme Grant. (RG/20/4/34803)
2020 – 2022 Co-Investigator on “Advances in Sequential Monte Carlo Methods for Complex Bayesian Models” (390,000 AUD). Australian Research Council Discovery Project (DP200102101).
2020 – 2023 Turing Fellowship, the Alan Turing Institute, UK.
2019 – 2021 Fellowship in Data-Centric Engineering (470,000 GBP), supported by the Lloyd’s Register Foundation and Newcastle University.
2018 – 2020 Co-Investigator on “Auto Generation of Optimal Deep Learning Networks” (114,393 GBP) from 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), Models 2 Decisions Feasibility Fund.
2018 – 2020 Co-Investigator on "Quantifying Functional Co-Variation in Calcium Handling Proteins in Cardiac Myocytes" (196,538 GBP), 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)
Committees and Working Groups
2023 – 2024 Chair of the Computation Section of the International Society for Bayesian Analysis. [Web]
2022 – present Vice Chair of the Computational Statistics and Machine Learning Section of the Royal Statistical Society.
2022 – 2023 Chair Elect of the Computation Section of the International Society for Bayesian Analysis. [Web]
2021 Member of the Scientific Committee for the Australian Mathematical Sciences Institute Winter School, 2021.
2021 Member of the Scientific Committee for Monte Carlo Methods (MCM), August 2021 @ Universität Mannheim, Germany.
2020 – 2024 Member of the Advisory Board for CHIMERA: Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI. [Web] [Web2]
2020 – 2022 Member of the Statistical Computing Section Committee of the Royal Statistical Society.
2020 Participant in the Physics-Informed Machine Learning Theory and Challenge Fortnight at the Alan Turing Institute. [Web]
2017 – 2018 Group Leader for the SAMSI working group on Probabilistic Numerics (co-led with Tim Sullivan)
PhD Theses Examined / PhD Defence Committee Member
2023 Satoshi Hayakawa, University of Oxford, UK.
2023 Ba-Hien Tran, Sorbonne Université, France.
2023 Jack Kennedy, Newcastle University, UK.
2022 Zheyang Shen, Aalto University, Finland.
2022 Lorenzo Pacchiardi, University of Oxford, UK.
2022 Alex Lewis, University of Nottingham, UK.
2022 Tim Reid, North Carolina State University, US.
2021 Michael Dunne-Willows, Newcastle University, UK.
2021 Henry Chai, Washington University in St Louis, US.
2021 Antonia Kontaratou, Newcastle University, UK.
2021 Wenkai Xu, University College London, UK.
2020 Ayoub Belhadji, École Centrale de Lille, France.
2020 Xi Chen, Newcastle University, UK.
2019 Christian Davey, Monash University, Australia.
2018 Onur Teymur, Imperial College London, UK.
2017 Nathan Owen, University of Exeter, UK.
Interview Panels
2023 Reader / Professor in Statistics, Newcastle University, UK.
2022 Reader / Professor in Statistics, Newcastle University, UK.
2021 Lecturer / Senior Lecturer in Statistics, Newcastle University, UK.
2019 Lecturer in Statistics, University College Dublin, IE.
Reviewing Service
AISTATS; Ann. Stat.; Bayesian Anal.; Bioinformatics; Biometrika; BMC Syst. Biol.; Commun. Comput. Phys.; Electron. J. Stat.; IEEE T. Inform. Theory; IEEE T. Pattern Anal.; IJCAI; Int. J. Intell. Syst.; J. Am. Stat. Assoc.; J. Appl. Probab.; J. Approx. Theory; J. Comput. Graph. Stat.; J. Comput. Neurosci.; J. Comput. Phys.; J. Mach. Learn. Res.; J. R. Soc. Interface; J. R. Statist. Soc. B; J. R. Statist. Soc. C; Mach. Learn.; Math. Biosci.; Methodol. Comput. Appl.; NeurIPS; SIAM J. Matrix Anal. A.; SIAM J. Sci. Comput.; SIAM J. Uncertainty Quantification; Stat. Appl. Genet. Mo. B.; Stat. Comput.; Stat. Method App.
Grant Reviewing Service
EPSRC Standard Grants, UK
ERC Consolidator Grants, EU
Horizon 2020, EU
Isaac Newton Institute Programme Grants, UK
Marsden Fund, Royal Society of New Zealand, NZ
National Science Centre, Poland
NERC Landscape Decisions, UK
Research Grants Council of Hong Kong, HK
Organised Conferences & Workshops
2024 Probabilistic Numerics Spring School, April 2024, University of Southampton, UK. [Web]
2023 Next Generational Kernel Methods, October 2023, Newcastle University, UK. [Web]
2023 Making Better use of MCMC Samples, September 2023, RSS Annual Conference @ Harrogate, UK. [Web]
2023 Modelling, Analysis and Inference for Digital Twins, March 2023 @ Alan Turing Institute, UK. [Web]
2023 Stein Discrepancies, March 2023 @ Bayes Comp, Levi, Finland. [Web]
2022 Richard J Boys Memorial Workshop, June 2022 @ Newcastle University, UK. [Web]
2022 Prob Num 2022. March 2022 @ St Pancras Meeting Rooms, UK. [Web]
2021 Stein’s Method in Computational Statistics, December 2021, Royal Statistical Society, UK. [Web]
2021 European Young Statistician’s Meeting: Online (EYSM), September 2021. (International organising committee)
2021 Stein’s Method: Post-processing of Monte Carlo. Monte Carlo Methods (MCM), August 2021 @ Universität Mannheim, Germany. [Web]
2020 Bayesian Young Statisticians Meeting: Online (BAYSM:O), November 2020. (Senior discussant) [Web]
2020 Cosines & Bayes4Health Data Study Group, September 2020, University of Warwick, UK.
2020 Quantifying Uncertainty due to Discretisation Error in Numerical Computation, September 2020, RSS Annual Conference @ Bournemouth, UK. [Web]
2020 Probabilistic Numerical Methods for Cubature, March 2020 @ SIAM UQ, Garching, Germany. [Web]
2019 Prob Num 2019. October 2019 @ Alan Turing Institute, UK.
2019 Stein’s Method for Machine Learning and Statistics, June 2019 @ ICML, California, USA. [Web] [Videos]
2018 Evolution of Data-Centric Engineering, September 2018, RSS Annual Conference @ Cardiff, UK. [Web]
2018 Max Ent, July 2018 @ Alan Turing Institute, UK. [Web]
2018 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]
2018 Meeting of the SAMSI Probabilistic Numerics Working Group. April 2018 @ Alan Turing Institute, UK. [Web]
2018 Data Sciences for Climate and Environment, March 2018 @ Alan Turing Institute, UK. [Web]
2017 Grand Challenges in Data-Centric Engineering. September 2017, RSS Annual Conference @ University of Strathclyde, UK. [Web]
2016 Probabilistic Numerics. August 2016, MCQMC @ Stanford, California, USA. [Web]
2016 Algorithms for Intractable Problems. January 2016, MCMSki @ Lenzerheide, Switzerland. [Web]
2016 Probabilistic Integration: Integrating Inference With Integration. January 2016, MCMSki @ Lenzerheide, Switzerland. [Web]
2015 Julia for Statisticians. November 2015 @ University of Technology Sydney. [Web]
2015 Probabilistic Numerics for Differential Equations. April 2015 @ University of Warwick, UK. [Web]
2014 Statistical Systems Biology. December 2014 @ University of Warwick, UK. [Web]
2012 Inference and Control for Complex Dynamical Systems. November 2012 @ University of Warwick, UK. [Web]
Media and Engagement