About This Project
Domoic acid is a potent neurotoxin made by the microscopic diatom Pseudo-nitzschia. It builds up in shellfish, causing poisoning and fishery closures in California. Risk models call 10,000 cells per liter a bloom, counting every cell alike, though some species make far more toxin. Using weekly pier samples of cells and toxin since 2008, this project tests whether counting only the toxic seriata group, then adding silicate shortage, predicts toxicity better than that flat threshold.
Ask the Scientists
Join The DiscussionWhat is the context of this research?
Every few years, a microscopic alga called Pseudo-nitzschia blooms off California and makes domoic acid, a toxin that builds up in shellfish and fish. It sickens sea lions and seabirds, and closes crab and shellfish fisheries to keep people safe. Risk models such as California's C-HARM call it a bloom at 10,000 Pseudo-nitzschia cells per liter of seawater. But that number treats every cell the same, and they aren't: one group makes most of the toxin while another is mostly harmless, and cells short of silicate may make more toxin. Since 2008, the California Harmful Algal Bloom Monitoring and Alert Program (CalHABMAP) has sampled seawater weekly at piers, counting both groups and measuring the toxin in the same sample. Its data are public, published by the Southern California Coastal Ocean Observing System (SCCOOS) at erddap.sccoos.org. That gives a rare chance to check the bloom threshold directly against toxin.
What is the significance of this project?
If counting only the toxic group, or also accounting for nutrient stress, predicts toxin much better than counting every cell, monitoring programs could sharpen their warnings using data they already collect, without a single extra sample. That could mean fewer needless alarms and fewer missed toxic events for fisheries, wildlife rescuers and public health. If the simple count holds up, that is useful too: it confirms the current threshold with evidence. Either way, the project answers a question that reaches well beyond algae: how much biological detail does an environmental threshold need before it predicts real outcomes better? Everything will be released openly, so others can repeat the test on their own coasts or apply it to other thresholds.
What are the goals of the project?
The project builds an open, checked dataset of weekly pier samples (cell counts for both groups, toxin, nutrients and temperature), from Southern California's four monitored piers to all 16 California sites; the head-to-head test uses the six piers that record both groups and toxin. It tests three thresholds of rising detail: all Pseudo-nitzschia at 10,000 cells per liter, as the control; the toxic group alone; and the toxic group adjusted for silicate stress and temperature. Each is scored on how well it flags toxic samples, the same week and a week ahead, by hits, false alarms and overall skill, with one common toxin detection limit. The 2014–2016 marine heatwave, with the 2015 bloom, is held out as an independent test: the adjusted threshold is tuned on the other years only, then judged on those, week by week, including how early each threshold raises the alarm. The data, code and results will be published openly, with a free web-based tool for exploring them.
Budget
Nearly all of the budget pays for my time, because the data already exist and are public: no fieldwork, equipment or lab costs. Sixty hours go to assembling and checking the pier records (cell counts, toxin, nutrients and temperature), a hundred to the analysis (the threshold ladder, skill scores, sensitivity tests and open code), and 24 to writing up and releasing the data and code with a DOI. The rest is Experiment's 8% platform fee.
Endorsed by
Project Timeline
The project runs for one year and uses only data that already exist, so there is no field season to wait for. The first months build and check the pier dataset: Southern California's four piers first, then all 16 California sites. The middle months test and score the three thresholds. The last months walk through the 2014–2016 heatwave as a worked example, then write up the results and release the data and code. Backers get a lab note at each milestone, with results and charts as they arrive.
Nov 06, 2026
Project Launched
Mar 01, 2027
Southern California pier dataset assembled and checked: weekly samples from four piers since 2008, with cell counts, toxin, nutrients and temperature.
May 01, 2027
Statewide dataset published: all 16 California sites added, documented and released openly for anyone to use.
Aug 01, 2027
Threshold test results: the three thresholds scored on toxic samples, the same week and a week ahead, by hits, false alarms and overall skill.
Oct 01, 2027
Heatwave test: how each threshold, tuned on other years, performed through the 2014–2016 marine heatwave and the 2015 bloom, week by week.
Meet the Team
Brandon Huey
I'm a technology executive by profession and a serious amateur in oceanography by choice. The two have more in common than they seem: both come down to measuring complex physical systems carefully, and being honest about what the measurements can and can't tell you.
I lead the Advanced Technology Group at Switch, one of the world's largest datacenter operators, where I'm responsible for software and distributed-systems R&D and the company's enterprise AI program. That includes physics-accurate digital twins that join thermal simulation with live telemetry from power and cooling systems. Before Switch, I built and led AWS's modernization program for global private equity, co-founded a cloud-transformation consultancy, and ran cloud platforms and engineering at Zillow Group and Auction.com, after earlier roles at Los Alamos National Laboratory, Broadcom and EMC. I also publish open-source tools and applied research on AI agents, including a research platform that ties every claim to its evidence.
On the ocean side, I built and run Bluegraph (bluegraph.io), a free public reference for more than 700 ocean stations from the Bering Sea to Samoa: NOAA buoys and tide gauges, estuary water quality, partner stations and HF radar surface currents. It separates each buoy's measured wave spectrum into distinct wave systems and traces swell back to the storms that made it. It asks one question, why is the ocean doing this here?, and keeps one rule: label what is measured, what is derived, and what is analysis. It does not forecast.
This project grows from that rule. I live in La Jolla, home to Scripps Pier, one of the piers in this study. The California monitoring program measures toxin in the same sample it counts cells in, which makes it possible to test a bloom threshold directly against toxin. I'm doing this as an independent researcher, separate from my employer, and everything it produces will be public.
Additional Information
Data: all inputs are public and already collected. The pier samples come from the California Harmful Algal Bloom Monitoring and Alert Program (CalHABMAP), served by SCCOOS; temperature is the one measured with each sample, with the piers' automated shore stations as a check. Toxin results below the detection limit are kept distinct from zero.
Next step: the 2014–2016 heatwave that fueled the 2015 bloom also collapsed kelp forests. The same method (a heat threshold, kelp populations' differing tolerance, and canopy loss measured from satellites since 1984) is the planned second test.
About me: I built and run Bluegraph (bluegraph.io), a free public reference for NOAA's ocean observations. Bluegraph is sponsored by my LLC; this grant funds independent research by me as an individual, no funds go to the LLC, and every output will be public.
Project Backers
- 1Backers
- 104%Funded
- $10,400Total Donations
- $10,400.00Average Donation


