THEORETICAL PHYSICIST // FOUNDER, NOUSYNTH

Machines that design. Swarms that organize. Science without permission.

I build autonomous AI systems from first principles — an AI engineer that turns a sentence into a working mechanical design, drone swarms with no central commander, a laboratory that runs its own research. Physics is how I think; shipped systems are the proof.

0
Systems shipped
0
Peer-reviewed papers
1st
Leonardo prize 2026
2018
ML since
LUCA BOTTERO 45.0703°N 7.6869°E — TURIN STATUS: BUILDING
SYS/01

Flagship systems

Three autonomous systems, one proprietary framework underneath. Each case study: problem, architecture, outcome.

NS//MARK

The NouSynth mark

Nous (mind) + synthesis. AI technologies for practical impact — one proprietary agent framework, seven systems built on it, real clients in production.

The doctrine ▸
SCI/01

Science you can watch

Computational physics published open source: quantum solitons, relativistic particles in electromagnetic fields, generative models for lattice physics.

Peregrine soliton — NLSE evolution
Peregrine soliton — NLSE evolution
X-point reconnection — Boris integrator, C++
X-point reconnection — Boris integrator, C++
REC/01

The record, verifiable

Every line is checkable. No adjectives, only facts.

2018 C++ neural-network library written from scratch for the high-school thesis
2021 AAAI-MLPS paper + JuliaCon talk — physics-informed wildfire simulator, with MIT JuliaLab
2022 NeurIPS workshop paper (NeurReps) · thesis on ALICE/CERN data with ML
2025 Lecturer, Sole 24 Ore Business School — "Faculty d'Eccellenza" · book chapter published
2026 First prize, Leonardo space hackathon · EigenLab, drone swarm and ABACUS operational

Let's build something.

Research-grade AI consulting, custom systems, executive training. Or simply a serious conversation.

Write to me