Adeline Hillier
Scientific ML Software Developer at The Johns Hopkins University Applied Physics Laboratory
Greater Seattle Area United States
Summary
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Rockstar🎓
Top SchoolAdeline Hillier is a Scientific ML Software Developer with seven years of experience building high-performance scientific software at the intersection of machine learning, data assimilation, and climate science. Trained at MIT in EECS, she has developed production-ready emulators, uncertainty-quantification pipelines, and neural differential models for climate and turbulence problems and recently joined JHU Applied Physics Laboratory. Her background spans image- and video-based signal recovery in Julia, U-Net–based denoising and segmentation, and interactive visualization tools that accelerate research iteration. Comfortable communicating results to interdisciplinary audiences, she has presented work to Caltech, MIT and large scientific meetings and produced first-of-their-kind results validating new uncertainty quantification approaches. Intentional and detail-oriented, she pairs a curiosity for physical systems with pragmatic software engineering to turn research ideas into reproducible, high-performance code.
7 years of coding experience
3 years of employment as a software developer
M.Eng. Electrical Engineering and Computer Science, M.Eng. Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyNewport Senior High School
Spanish, Portuguese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (22)
climate-science10
parameter-estimation10
climate-change10
ocean10
ocean-modelling10
julia10
machine-learning9
gpu9
fluid-dynamics9
uncertainty-quantification8
simulation7
climate-model7
surface7
stochastic4
sampling3
Programming languages (3)
Github contributions (5)
adelinehillier/OceanBoundaryLayerParameterEstimation.jl
Mar 2022 - Dec 2022
Contributions:42 pushes, 1 branch in 9 months
adelinehillier/OceanConvect
Jul 2020 - Aug 2020
Contributions:23 pushes, 3 branches in 1 month
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