What we're working on.

Intertidal Biodiversity DNA Barcode Library

with Coastal Quest

A reference barcode taxonomic coverage gap analysis tool — 4,384 intertidal species along the California coast, cross-referenced against BOLD, NCBI GenBank, NCBI SRA, and GBIF to prioritize which species to sample next.

• eDNA
• marine
• gap analysis
• DNA barcoding
• California

California Insect Barcoding Initiative

The first large-scale DNA-barcode survey of California insects — over 1 million specimens barcoded, estimating a conservative minimum of ~61,000 species statewide with roughly one third still undiscovered. Generates spatial richness interpolations constrained by ecoregion and vegetation type to guide targeted inventory and conservation.

• DNA barcoding
• insects
• biodiversity
• California
• conservation

DaKineDiving — real-time dive intelligence for O'ahu

A real-time dive intelligence platform for O'ahu, Hawai'i. Combines NOAA tide data, PacIOOS wave buoys, and GBIF biodiversity records to surface conditions, encounter probabilities for 100+ marine species, and Marine Life Conservation District boundaries on an interactive map. Built with Claude Sonnet 4.5.

• marine
• biodiversity
• GBIF
• eDNA-adjacent
• Hawaii
• AI-assisted build

Bay estuary metabarcoding baseline

with San Francisco Estuary Institute

A longitudinal metabarcoding baseline for the San Francisco Bay estuary, in partnership with the San Francisco Estuary Institute.

• metabarcoding
• marine
• estuary
• Bay Area

Long-read microbial genome resource

A growing library of high-quality long-read microbial assemblies produced on the ONT Promethion 2 and published as a public resource.

• sequencing
• microbial
• long-read

Colloquip — multi-agent scientific deliberation

An open-source multi-agent AI deliberation platform. Specialized scientific personas — Biology, Chemistry, ADMET, Clinical, Regulatory, Red Team — self-organize to debate hypotheses, with emergent discussion phases and energy-based conclusion instead of fixed turn orders.

• AI
• multi-agent
• scientific reasoning
• open source
• deliberation

Sequoia™ — a foundation model for global biodiversity

BioKEA's multimodal foundation model: it learns biology from DNA, images, and the spatial environment all at once — what an organism is, what it looks like, and where it lives. Reads partial DNA, fragmentary photographs, and habitat maps as one signal. Two tiers: the Seed (a small, single-file model that runs on a laptop, for education and open collaboration) and the Forest (the production engine that processes hundreds of millions of biodiversity datapoints).

• AI
• foundation model
• multimodal
• biodiversity
• computer vision
• DNA