
Compute, don't learn: radiobiological dose equivalence
One fraction of 15 Gy to the rectum: 72.7 Gy under LQ, 59.4 Gy under LQL.
Every story follows the same plan: the finding, the question, the theory in plain words, where it sits on the complexity ladder, an example in figures, what it brings and its limits. Technical details and code are on the methods site.
Compute directly · Hybridize · Learn frugally · AI in its place · Demonstrate trust
When the link is known, compute it with an explicit model, calibrated and validated on data; learning is added only for a demonstrated benefit.

One fraction of 15 Gy to the rectum: 72.7 Gy under LQ, 59.4 Gy under LQL.

One year at 10-minute resolution in about 150 ms, with its limits stated.

sCV and F describe a site before any model is fitted.
When the model falls short, complete it: keep the model, learn only what is missing.

Marie Fusella Giuntini and Dominique Barbolosi: three equations, 50 patients, a hybrid twin in progress.

Symmetry-constrained forecasting: the structure of the signal written into the reference.
When the useful relations are not known well enough, evaluate what the data can teach, with only as much complexity as pays.

One frugal learner forecasts the whole Corsican electricity mix.

A per-cell ELM beats the same ELM reading the whole field, with a thousand times fewer parameters.

How much model a forecast really needs before it is deployed.

Compress the input only when the compression serves the forecast.
Language models help people use validated tools; the calculation, the checking and the responsibility stay with validated codes and people.

Execute, clarify or refuse: never guess.
Judge against a reference, publish code, data and limits, make research findable and reusable.

With J. P. A. Ioannidis (Stanford), J. Baas and R. Boverhof (Elsevier): influence on a doubling scale, impact next to integrity, excellence as a system.

Research is excluded under conditions, transfers are not: timeline, who is responsible, and ten tools for a lab.

NICE compares a model's errors with those of persistence.

A tolerance-based test carried over from radiotherapy.
A saturated ecosystem, and a practical toolkit for discoverable research.

The RTVACOS framework: rigour, transparency, visibility, adoption.
How forecastable is the sun?
Solar forecastability evaluated at 68 weather stations, across ten models and 24 horizons.
Better persistence
An analytical cyclostationary reference that improves on classical persistence on the studied solar series.
Seven signals, one ELM
Seven energy outputs evaluated on six years of hourly data from Corsica.
Beyond pointwise errors
A synthetic experiment shows why small displacements can mislead a pointwise error metric.
When RMSE hides a difference
Two models with the same rounded nRMSE are distinguished by persistence-relative evaluation.
These research stories explain results from papers on which I am first author. Each page includes the question, evidence, interpretation, limitations and full collective attribution, in English and French.
Explore the ideas, methods and evidence, Prévision solaire : faire simple
Forecastability, useful baselines, error evaluation and frugal models: a guided route through our published studies, open code and ongoing research, with full attribution.