Océane Boulais
Graduate Student Researcher
United States
Summary
👤
Senior🎓
Top SchoolOcéane Boulais is a research-focused software engineer and Ph.D. candidate with nine years of experience applying machine learning, computer vision, and systems engineering to environmental and safety-critical problems. Currently at Scripps Institution of Oceanography, she develops acoustics- and data-driven solutions for marine science while previously leading cross-disciplinary teams at Oceanit to productize ML systems for agriculture, aquaculture, medical imaging, and coastal monitoring. Her background includes building multi-object tracking and physics-informed generative models at NOAA, MIT Media Lab, and Frontier Development Lab, demonstrating a strong blend of academic rigor and product delivery. Comfortable bridging research and deployment, she has a track record of turning novel algorithms into operational tools for fielded hardware and video analytics. An unusual strength is her breadth across domains—from data center hardware testing at Facebook to blockchain policy work at the World Economic Forum—bringing systems thinking to complex, real-world datasets.
9 years of coding experience
8 years of employment as a software developer
Masters of Arts and Sciences, Computational and Applied Mathematics, Masters of Arts and Sciences, Computational and Applied Mathematics at Massachusetts Institute of TechnologyThe GREEN Program, Renewable Energy and Sustainable Energy Technology, The GREEN Program, Renewable Energy and Sustainable Energy Technology at Reykjavik UniversityBachelor of Engineering (B.E.), Innovation Leadership Honors Program, Electrical Engineering, Junior, Bachelor of Engineering (B.E.), Innovation Leadership Honors Program, Electrical Engineering, Junior at Florida Atlantic University
English, French
Github Skills (7)
bitcoin7
react6
raspberry1
raspberry-pi-camera1
raspberry-pi1
dropbox1
camera1
Programming languages (4)
Github contributions (5)
oceaneboulais/portfolly
Mar 2018 - Feb 2025
Contributions:59 pushes, 2 branches in 7 years
SEFSC/SEAMAPD21
May 2021 - Jan 2024
SEAMAPD21 was created to enable fishery scientists and researchers to process raw image-based data at high volumes at a much quicker rate than current manual methods. This open-source dataset contains 90,000 annotations for 130 species of fish from two annual surveys done in 2018 and 2019 in strategic areas of the Gulf of Mexico using baited remote underwater video systems to assess reef fish populations.
Contributions:2 pushes, 1 branch, 2 comments in 2 years 8 months
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