Xin Lee
Applied Science Research Engineer Intern at Massachusetts Institute of Technology
Cambridge, Massachusetts, United States
Summary
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Rockstar🎓
Top SchoolXin Lee is a graduate student researcher blending theoretical physics, high-performance computing, and machine learning to advance next-generation ocean and climate models. Based at MIT and originally trained at Imperial College London, Xin built an AI-augmented turbulence parameterization using Neural ODEs and embedded it into GPU-native Oceananigans.jl, and implemented an FFT-preconditioned conjugate-gradient solver for Navier–Stokes with complex topography. Their work spans end-to-end scientific ML pipelines—from LES dataset generation and Flux.jl training to Ensemble Kalman Inversion calibration on real observations—aimed at improving climate prediction and risk mitigation. A former student leader and educator awarded an ASEAN Scholarship, Xin pairs technical rigor with strong communication and project leadership cultivated across cross-institutional collaborations like CliMA. An unexpected throughline in their profile is a knack for shipping production-capable research software that bridges theory and operational modeling.
7 years of coding experience
Secondary School, Secondary School at SMJK Kwang Hua, Klang, MalaysiaMSci. Physics with a Year Abroad Theoretical and Mathematical Physics, MSci. Physics with a Year Abroad Theoretical and Mathematical Physics at Imperial College LondonSingapore-Cambridge GCE A-Levels, Singapore-Cambridge GCE A-Levels at Hwa Chong Institution (College)Primary School, Primary School at SJK (C) Hin Hua, Klang, MalaysiaPhysics with a Year Abroad Earth, Atmospheric and Planetary Sciences, Computational Science, Machine Learning, Physics with a Year Abroad Earth, Atmospheric and Planetary Sciences, Computational Science, Machine Learning at Massachusetts Institute of TechnologySecondary School, Secondary School at Victoria School Singapore
English, Chinese, Malay, Spanish
Github Skills (31)
machine-learning10
climate-change10
gpu10
fluid-dynamics10
ocean10
julia10
atmosphere9
climate-model9
orbital-mechanics9
uncertainty-quantification9
geodesy9
earth9
astrodynamics9
ocean-modelling9
cuda8
Programming languages (5)
Github contributions (5)
xkykai/TwoDG.jl
Feb 2025 - Jul 2026
2D Discontinuous Galerkin Method in Julia
Contributions:103 pushes, 1 branch in 1 year 5 months
CliMA/ClimaOceanCalibration.jl
Aug 2025 - Jul 2026
Calibration of ocean models driven by prescribed atmospheric states.
Contributions:17 PRs, 155 pushes, 19 branches in 10 months
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