Research Projects

Turbulence modelling for breaking waves (2025-2026)
PI, computational allocation on the UK national HPC facilities for large-scale numerical simulations of turbulence in breaking waves, [UK Turbulence Consortium]

Symbolic Machine Learning Workshop (2025)
PI, University of Manchester and Imperial College London, [Schmidt AI in Science Community Fund]

Intelligent Wave-Breaking Characterisation with Machine Learning (2023-2026)
PI, as Associate Research Fellows of Reuben College, supervised by Prof. Thomas Adcock, Prof. Mike Osborne and Prof. Yuntian Chen, University of Oxford, [Schmidt Futures]

Ocean Engineering National Key Laboratory 2022 Annual Funding (2023-2025)                      PI, in collaboration with Prof. Julian Lin and Prof. Ye Li, Shanghai Jiao Tong University 

Severe Storm Wave Loads on Offshore Wind Turbine Foundations (2021-2022) 
Postdoctoral Researcher, University of Oxford, [EPSRC]

SuperGenORE - LoadTide (2021) 
Research Assistant, University of Oxford, [EPSRC]

Extreme Wind and Wave Loads on the Next Generation of Offshore Wind Turbines (2019-2021) 
Alined DPhil Student, University of Oxford (collaboration with Shanghai Jiao Tong University)[EPSRC, NSFC, NRC]

Public Engagement & Media Press

University of Manchester News, Scientists make first direct observation of the trapped waves that shook the world

University of Oxford News, First direct observation of trapped waves that shook the world – featured in over 40 news articles worldwide, including BBC News, El País and the New York Post

BBC Science Focus, Shipwrecking 'rogue waves' are raging through our oceans. And they have scientists puzzled

World Salon Fireside Talk Series, The Hidden Cost of Innovation: Environmental Impacts of AI-driven Data Centers

Invited Presentations

Fluid Mechanics Seminar, The Royal Society (2025.09)
Solitary wave interactions modelled using conserved and empirically conserved quantities discovered with machine learning

Intelligent Earth Seminar, University of Oxford (2025.01)
What makes a wave break - How machine learning can shed light on the underlying physics of breaking waves

Intelligent Earth Seminar Series, University of Oxford (2024.12)
What makes a wave break - How machine learning can shed light on the underlying physics of breaking waves

Plymouth University (2024.07)
What makes a wave break - How machine learning can shed light on the underlying physics of breaking waves

Imperial College London (2024.06)
What makes a wave break - How machine learning can shed light on the underlying physics of breaking waves

Zhe Jiang University (2024.02)
Transformed-FNV: wave forces on a vertical cylinder – a free-surface formulation 

South China University of Technology (2023.12)
Data Informed Model Test Design with Machine Learning - an Example in Nonlinear Wave Load on a Vertical Cylinder

Shanghai Jiaotong University (2023.12)
Data Informed Model Test Design with Machine Learning - an Example in Nonlinear Wave Load on a Vertical Cylinder

Schmidt AI in Science Seminar, University of Oxford (2023.11)
What makes a wave break - How machine learning can shed light on the underlying physics of breaking waves

Shanghai Jiaotong University (2023.07)
Rogue waves in the open ocean and data-driven predictions

University of  Western Australia (2023.06)
Data Informed Model Test Design with Machine Learning - an Example in Nonlinear Wave Load on a Vertical Cylinder

Massachusetts Institute of Technology (2023.05)
Data Informed Model Test Design with Machine Learning - an Example in Nonlinear Wave Load on a Vertical Cylinder

University of Portsmouth (2022.11)
A reduced order model for space-time wave statistics with probabilistic decomposition-synthesis method

Hohai University (2022.06)
Rogue waves in the open ocean and data-driven predictions

Imperial College London (2022.04)
Predicting Extremes in the ocean: a Data-driven Approach

South China University of Technology (2022.03)
A physics-based data-driven approach for wave and loading statistics under extreme weather conditions

Southern University of Science and Technology (2020.01)
A physics-based data-driven approach for wave and loading statistics under extreme weather conditions

University of Oxford (2020.05)
On the Probability and Averaged Shape of Extreme Water Waves

Shanghai Jiaotong University (2019.08)
Interaction between Short and Long Wave Packages                     

Workshop Posters & Presentations

4th International Workshop on Waves, Storm Surges and Coastal Hazards (2025.09)
How symbolic machine learning can shed light on the underlying physics of breaking waves

12th PRIMaRE Conference, Bristol (2025.07)
An experimental study of a quasi-impulsive backwards wave force associated with the secondary load cycle on a vertical cylinder

6th Challenger Society Ocean Wind Waves Special Interest Group Meeting (2025.06)
What makes a wave break, from a machine learning perspective

AI in Waves Workshop, Northumbria University, Newcastle (2025.06)
Symbolic regression for breaking waves

1st International Symposium on AI and Fluid Mechanics (AIFLUIDs), Chania, Greece (2025.05) 
Discover the boundary conditions for breaking waves with machine learning

Euromech Colloquium on Data-Driven Fluid Dynamics, Imperial College London (2025.04) Discover the boundary conditions for breaking waves with machine learning

European Geosciences Union General Assembly - EGU2024 (2024.04)
What makes a wave break - How machine learning can shed light on the underlying physics of breaking waves

Accelerate Programme for Scientific Discovery, University of Cambridge (2023.12)
What makes a wave break - How machine learning can shed light on the underlying physics of breaking waves

International Workshop on Water Waves and Floating Bodies (IWWWFB), University of Michigan (2023.03) 
An experimental investigation of nonlinear wave loading on a vertical cylinder – Stokes type expansion and secondary load cycle

Workshop: Data Driven Methods in Fluid Dynamics, UK Fluids Network (2023.03)
A reduced order model for space-time wave statistics with probabilistic decomposition-synthesis method

Water Waves - Mathematical Theory & Applications, University of Plymouth (2022.09)
A reduced order model for space-time wave statistics with probabilistic decomposition-synthesis method

Challenger Special Interest Group on Wind Waves, Imperial College London (2022.09)
On the average shape of large water waves in flumes and in the open ocean

The Final UK-China Conference (2020.11)
Spatial evolution of the kurtosis of steep unidirectional random waves

JFM symposium (2019.07)
Spatial evolution of the kurtosis of steep unidirectional random waves

Journal Referee

Physical Review Letters

Journal of Fluid Mechanics

Physical Review Fluids

Journal of Geophysical Research: Machine Learning and Computation

Energy Conversion and Management: X

Journal of Hydrology

Coastal Engineering

Scientific Reports 

Ocean Engineering

Journal of Ocean Engineering and Science

Mathematics  

Wave Motion

Ocean Modelling

International Journal of Naval Architecture and Ocean Engineering

Mechanics and Mechanical Engineering

Scientia Iranica 

International Journal of Offshore and Polar Engineering (IJOPE) 

Journal Editorial

Journal of Ocean Engineering and Marine Energy, Associate Editor

Journal of Medical Artificial Intelligence

Other Professional Services

Lead Organiser of Symbolic Models Discovery Workshop, Imperial College London (2025)

Member of the ICNMT Working Group on Hydroelasticity Advisory Group (2025 - present)

Communication Officer for the Early Career Panel, Supergen ORE Impact Hub (2024 - present)

Grant Reviewer, National Science Centre, Poland (2025 - present)

Member of researcher committee, University of Oxford (2021 - present)

Co-organiser of Waves and Flows Seminar, University of Oxford (2022 - present)

Organiser of Intelligence Earth Seminar, University of Oxford (2024 - present)

Co-chair of 42nd Ocean, Offshore and Arctic Engineering Conference Technical Sessions 

Session Chair of Euromech Colloquium on Data-Driven Fluid Dynamics

Other Professional Activities

Invited Contributor, Scottish Government consultation on offshore renewable energy (2025)

Software Release, SeaSwallows engineering tool for calculating wave loading on offshore structures, in collaboration with the University of Oxford, the University of Strathclyde and the University of Bath (2025)

Invited Speaker, Research Networking Lunch, University of Oxford

Invited Speaker, the Joe Todd Engineering Dinner, St. Edmund Hall, Oxford