Collaboration and hosting in the fields of CFD, ML, and HPC

Within the intersection of CFD, ML, and HPC, I am currently working in the following project:

• Scale-resolving simulations (SRS) of flows at high Reynolds numbers

• Acceleration of SRS using numerical methods enhanced with physics-based machine learning

• Data-driven wall modelling of non-equilibrium boundary layers

• Deep reinforcement learning for active flow control

• Discovery of partial differential equations from raw data using ML and sparse regression

• WaterLily.jl, a Julia CFD solver using finite-volume and immersed-boundary methods with backend-agnostic execution (CPU/GPU)

I am keen to explore collaborations within or related to these areas of research.