Research & development
Open science, reproducible software.
Astrophysics, machine learning, and scientific computing prototypes — research that leaves a trail others can follow.
How we work
Curiosity, software, and openness.
Astrophysics, machine learning, and scientific computing prototypes — research that leaves a trail others can follow.
Curiosity with rigor
We chase hard scientific questions — then insist on methods you can inspect, reproduce, and improve.
Software as contribution
A paper alone is not enough. We ship models, APIs, and interactive tooling so others can run the same path.
Open by default
Preprints, repositories, and documented freeze labels — research that leaves a trail others can follow.
Focus areas
Domains we explore.
Astrophysics leads today with Keno. Machine learning and scientific computing are the scaffolding that make those ideas runnable — and the lanes we keep expanding.
Astrophysics
1 projectSignals in the noise
Gravitational-wave burst search and detector data challenges where classical templates fall short.
View projectsMachine Learning
0 projectsModels that earn their keep
Neural methods tied to measurable scientific outcomes — not demos that vanish after the slide deck.
Coming into focusScientific Computing
0 projectsReproducible systems
Full-stack prototypes: inference services, orchestration, and interfaces researchers can actually use.
Coming into focusProjects
Active research
1 project
Interested in collaborating?
Whether you are a researcher, lab, or partner with a hard scientific software problem — start a conversation.