pyPlumbing
pyPlumbing is a SageMath package that provides specialized plumbing computation tools utilizing SageMath's powerful mathematical capabilities for an efficient computation of Ẑ-invariants.
Year: TBD
Collaborators: TBD
About
Summary
I am a theoretical physicist, mathematician and postdoctoral scholar at Caltech. My work spans mathematical physics and related areas in pure mathematics. My main focus on computational tooling, with open-source research software and peer-reviewed publications. More recently I have been pivoting to AI research with a focus on Reinforcement Learning for mathematical reasoning.
Education
- PhD, Physics — University of Amsterdam — Advisor: Miranda Cheng (08/2024)
- MS, Physics — Uppsala University — Advisor: Magdalena Larfors (05/2020)
- Degree, Physics — Università degli Studi di Milano — Advisor: Luca Guido Molinari (06/2018)
- Maturità (Italian high school diploma) — Liceo Scientifico Leonardo Da Vinci di Milano (06/2015)
Skills
Technical
... and many more!
Domains
Selected Projects
pySeifert
A Sage module for the computation of Z ^ invariants of Seifert manifolds with three and four singular fibers. PySeifert was developed as a companion to "3 Manifolds and VOA characters" ArXiv:2201.04640, to aide in the computation of topological invariants for Seifert manifolds and characters of certain vertex operator algebras.
Year: TBD
Collaborators: TBD
fk-compute
Description: TBD
Year: TBD
Collaborators: TBD
Experience
Sherman Fairchild Postdoctoral Scholar Research Associate in Theoretical Physics — Caltech
2024–present • Pasadena, California, United States
PhD candidate in Theoretical Physics - Universiteit van Amsterdam
2020–2024 • Amsterdam, The Netherlands
Publications & Preprints
The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning
Authors: Lucas Fagan, GMichele Tarquini, Ali Shehper, Maksymilian Manko, Angus Gruen, Coco Huang, Giorgi Butbaia, Davide Passaro, Sergei Gukov
Publishing Status: Accepted for publication at ICML (2026)
AbstractHierarchical Reinforcement Learning for Sparse-Reward Search in Commutative Algebra
Authors: Giorgi Butbaia, Paul Orland, Coco Huang, Davide Passaro, Lucas Fagan, Michele Tarquini, Hailong Dao, David Eisenbud, Ali Shehper, Sergei Gukov
Publishing Status: Accepted for publication at ICML (2026)
Abstractc_eff from Surgery and Modularity
Authors: Shimal Harichurn, Mrunmay Jagadale, Dmitry Noshchenko, Davide Passaro
Publishing Status: Accepted for publication on SIGMA (2026)
arXiv:2508.100873d Modularity Revisited
Authors: Miranda C. N. Cheng, Ioana Coman, Piotr Kucharski, Davide Passaro, Gabriele Sgroi
Publishing Status: Submitted for publication (2024)
arXiv:2403.149203-Manifolds and VOA Characters
Authors: Miranda C. N. Cheng, Sungbong Chun, Boris Feigin, Francesca Ferrari, Sergei Gukov, Sarah M. Harrison, Davide Passaro
Publishing Status: Published in Communications in Mathematical Physics (2024)
DOI: 10.1007/s00220-023-04889-1Heterotic line bundle models on generalized complete intersection Calabi Yau manifolds
Authors: Shimal Harichurn, Mrunmay Jagadale, Dmitry Noshchenko, Davide Passaro
Publishing Status: Published in JHEP (2021)
DOI: 10.1007/jhep05(2021)105Quantum Modular Z^G-Invariants
Authors: Miranda C.N. Cheng, Ioana Coman, Davide Passaro, Gabriele Sgroi
Publishing Status: Published in SIGMA (2024)
DOI: 10.3842/SIGMA.2024.018