PhD Candidates
Samuel Owusu
Samuel builds ML emulators that make climate simulations faster without sacrificing physical fidelity. His HPC and modeling skills fit a climate-risk analytics company serving insurers and asset managers.
Details
- Advisor
- Dr. Raffaele Ferrari
- Field
- Climate Modeling
- Institution
- Massachusetts Institute of Technology
- Skills
- PythonJuliaMachine LearningFluid DynamicsHigh-Performance ComputingData Assimilation
- Thesis
- Machine-learning parameterizations for ocean turbulence in climate models
- Transition Signals
- Internship at a climate-analytics startupCo-authored with reinsurance data scientistsMaintains an open-source climate-emulator library