Tim Tang is currently working as an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow at the University of Oxford. He graduated with a BEng from the University of Nottingham coming top in each year of the course. He moved straight to a DPhil at Oxford publishing 5 journal papers including three JFMs. He won first place in the Osborne Reynolds Day competition for the UK's best DPhil student in fluid mechanics. His thesis covered the analysis of field data, experiments, numerical modelling using two different models and the application of data science methods to ocean engineering problems. His current research focuses on extreme events in fluid mechanics with an emphasis on machine learning, including data-driven predictions on extreme waves and extreme structural loading, considering leading order physics such as nonlinear wave dynamics and instabilities, breaking waves, and long-short wave interaction.
