Credit photo: SL Mar
Credit photo: SL Mar
Physics-based ship modelling (Holtrop–Mennen resistance, propulsion chain, SFOC curves), A* pathfinding with safety constraints (wave height, roll, slamming), and Monte Carlo fuel estimation across ECMWF/GFS scenarios producing P10/P50/P90 distributions.
Hands-on experience across crude oil, chemicals, LNG, LPG, containers, and out-of-range project loads. Currently developing LCS-Mar, a physics-based digital twin of oil/chemical tanker cargo systems — modelling inert gas atmosphere, piping hydraulics, cargo heating, crude oil washing, and intact stability in real time.
Three years studying English shipping law at London Metropolitan University, followed by an LLM in French maritime law at CDMO Nantes with a focus on shipping contract law and international marine law. From charterparty disputes and bills of lading to SOLAS compliance and arbitration analysis.
Pioneered the automatic generation of trading strategies from market data — a concept now made accessible by current state-of-the-art coding assistants. Still active in building real-time monitoring dashboards and trade automation systems.
Grounded in physics. Validated at sea.
WindMar combines hydrodynamic modelling, real meteorological data, and constrained pathfinding to produce routes that account for hull resistance, propulsion efficiency, and cargo loading under actual ocean conditions. Built by a master mariner for the people who actually sail the ships.
