Idea.Deploy Labs
Research Laboratory for Theoretical and Computational Physics
Research Laboratory for Theoretical and Computational Physics
Idea.Deploy Labs is dedicated to advancing theoretical and computational physics through high-performance numerical methods and reproducible scientific computing.
Founded and directed by Matteo Lulli (PhD Physics, advisor Giorgio Parisi — Nobel Prize 2021), the lab develops and maintains open-source tools for complex systems simulations, with emphasis on statistical field theory, stochastic modeling, out-of-equilibrium dynamics, and GPU-accelerated reproducibility.
A modular, GPU-accelerated computational framework designed for the reproducibility of peer-reviewed numerical results.
Implements a C-like metalanguage that compiles to CUDA, OpenCL, or native C/C++, enabling hardware-agnostic simulations, metaprogramming, and bitwise optimizations.
Applications include stochastic dynamics, spin glasses, nucleation phenomena, multiphase flows, and multivariate probability estimation — with publications in Physical Review Letters, Physical Review E, Physical Review X, Soft Matter, and Computer Physics Communications.
Contact: matteo.lulli@ideadeploylabs.com • +852 6196 6396
Key Affiliations (selected):
• Research Associate, The Chinese University of Hong Kong (2023–2025)
• Research Associate Professor, Southern University of Science and Technology (2019–2023)
• Postdoc, The Hong Kong Polytechnic University (2018–2019)
• PhD Physics, University of Rome Sapienza — Advisor: Giorgio Parisi (2011–2015)
Technical Expertise: Python, CUDA, OpenCL, C/C++, Monte Carlo, stochastic dynamics, lattice Boltzmann, GPU computing, bitwise optimizations.