Stefano Massaroli
Co-Founder & President at RIKEN
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolStefano Massaroli is a researcher-founder blending deep learning, numerical linear algebra and signal processing to accelerate large models and build the practical theory for AI to improve its successors. Based in Tokyo, he co-founded Radical Numerics and serves as President while leading a Deep Learning Theory team at RIKEN AIP, after postdoctoral stints at Mila and The University of Tokyo. His background—PhD work on dynamical systems, optimization and control—drives applied research into neural differential equations and implicit models, including documentation contributions to the well-known torchdyn library. Over seven years he has moved seamlessly between academia and startups, advising Liquid AI and translating advanced numerics into usable systems. Colleagues describe him as someone who pairs rigorous theory with pragmatic engineering, often surfacing subtle numerical insights that materially speed model training and inference.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Control Theory and Control Engineering, Bachelor of Engineering - BE, Control Theory and Control Engineering at Tongji UniversityUniversity of TokyoUniversity of BolognaHigh School Diploma, Biology/Biological Sciences, General, High School Diploma, Biology/Biological Sciences, General at Liceo Scientifico Statale Leonardo Da Vinci
Italian, English, Japanese
Github Skills (6)
sphinx-doc10
sphinx10
documentation10
technical-writing10
jupyter-notebook9
python8
Programming languages (2)
Github contributions (5)
DiffEqML/torchdyn
Apr 2020 - Jul 2022
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Role in this project:
Technical Writer
Technical WriterContributions:6 releases, 7 reviews, 134 commits in 2 years 2 months
Contributions summary:Stefano primarily contributed to the documentation of the `torchdyn` library. Their commits focused on updating the `index.rst`, `conf.py`, and `torchdyn.rst` files, as well as modifying tutorial files. These changes included adding new content, updating formatting, and correcting errors in the tutorials. The user was therefore highly focused on creating and revising documentation and example notebooks.
dynamical-systemsdifferentialdedicateddifferential-equationsnumerical-methods
massastrello/Recursive-Estimation
Nov 2018 - Apr 2020
Contributions:1 release, 1 PR, 25 pushes in 1 year 5 months
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