About
Tim Tang is a Lecturer in Fluid Mechanics at the University of Manchester's Mechanical and Aerospace Engineering department. He joined in 2025 as an Assistant Professor in Fluids Simulation and Digital Twins. Previously, he held positions at the University of Oxford, including an Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship. His research focuses on extreme fluid events, machine learning applications in fluid mechanics, and oceanic infrastructure interactions. He actively supervises PhD/MSc students and leads projects on rogue waves, nonlinear hydrodynamics, and AI-driven models for marine energy.
Education
- BEng in Mechanical Engineering, University of Nottingham (2013–2017)
- DPhil (PhD) in Engineering Science, University of Oxford (2017–2021)
Research Interests
His team applies cutting-edge machine learning techniques (e.g., Physics-Informed Neural Networks, Gaussian Processes) to study extreme waves, wave-structure interactions, and marine energy systems. Recent work includes BBC Science Focus-featured research on rogue waves and AI models for offshore renewable energy.
Grants & Awards
- Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship (2023)
- First place, Osborne Reynolds Day Competition (2022)
Advising & Collaborations
- Current PhD/MSc students: Chengyuan Hao, Jialun Chen, Xinyu Liu, Thomas Monahan, Zhenhao Li
- Collaborations span global institutions like MIT and ZheJiang University.
