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2026 AI Empowered Research Curriculum

AI Empowered Research Curriculum — A PhD Student's Perspective on AI-Enabled Ocean Science

CFD detecting fish in Hawaiian reef footage

2026 Detect All The Fish

Living DigiJournal of Zero-Shot Transfer Learnings with Community Fish Detector

Biofouling on underwater camera

2026 No wiper? No problem. We've got you coated. Plus, a deep dive into collaborative prototyping with the Scripps Sandbox Makerspace

Long-term autonomous underwater cameras use SLIPs to prevent biofouling.

2025 Play with fish larvae data

Acoustic Enrichment for Accelerated Reef Restoration

2025 Explore clustered bowhead whale data

Unsupervised Clustering of Beaufort-Chukchi-Bering Bowhead Whale Data

2024 Read more about how to use autonomous cameras for larval fish detection

Underwater Autonomous Long Term Visual Monitoring

2020 MIT MAS Masters Thesis

Emerging Computational Methodologies for Transparency in Fisheries

2021 Gulf of Mexico Reef Fish Dataset

Seminal Dataset Fine-Grained Visual Categorization Workshop Paper (CVPR21)

2020 Interact with GANs output for physics based climate change induced flooding patterns

Earth Intelligence Engine

Polyp Pod Immersive Ocean Science

SciArt Installation Design Towards Reimagning the Aquarium

2020 Meet the GANimals

Interpolating GANs to Scaffold Autotelic Creativity Joint Proceedings of the ICCC 2020 Workshops (ICCC-WS 2020)

2026 in situ is a student-led zine that captures the creative, critical, and curious spirit of the Scripps Institution of Oceanography (SIO) community.

Scripps Institution of Oceanography's grassroot art collective made zine

Shellfegio Synthesizer

2026 Shellfegio Synthesizer

Shellfegio Synthesizer

Océane Boulais

they/she

Ph.D. Candidate Explorer|Engineer|Maker|Artist Scripps Institution of Oceanography

As a Ph.D. candidate in the Thode Environmental Acoustics Lab within the Marine Physical Laboratory at the University of California San Diego, my research currently focuses on coastal ecosystem monitoring, coral reef restoration, marine bioacoustic analysis leveraging unsupervised machine learning and deep learning. A tinkerer at heart, I find interdisciplinary approaches most effective at tackling complex environmental challenges. In a prior season, I was in the Responsive Environments group at the MIT Media Lab and before that, a Research Engineer at NOAA's Southeast Fisheries Science Center using computer vision and baited habitat cameras to quantify commercial fishery change in the Gulf of Mexico.

If not in the field collecting data on reefs or diving into a sea of code, you'll probably find me improv jamming with friends on vocals, flute or a number of percussive modalaties. As a science communicator, I also love to think about ways we can make science more accessible via somatic immersion and community gatherings, constantly seeking novel ways to share our beautiful blue planet's stories.

If something on this page resonates, I'd love to hear from you. Thanks for stopping by!