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Ciao a tutti! (or Hi there) 👋

  • 🔭 I’m currently a Physics PhD student at Harvard, doing research in particle physics. Together with Prof. Roxanne Guenette, I am investigating the possible existence of sterile neutrinos using data collected by the MicroBooNE experiment. I tackle similar questions from a theoretical perspective with Prof. Carlos Arguelles, while developing new tools and analysis techniques.
  • 🌱 I’m currently learning machine learning theory and intersections with neuroscience...and more statistics, always more statistics.
  • 👯 I’m looking to collaborate on projects and startups with technical knowledge at the core.
  • 🤔 I’m looking for help with bridging gaps between physical science and newer statistical techniques.
  • 💬 Ask me about how to do statistical analysis correctly, but also about curioisities about physics and particles!
  • 📫 How to reach me: [email protected]
  • 😄 Pronouns: he/him/his
  • 📍 Currently based in Cambridge (MA), but looking forward to travelling again soon!
  • ⚡ Fun fact: During high school my latin professor recommended Law School for my future...Would I have discovered GitHub had I followed the advice?

Nicolò Foppiani's Projects

cmg-cmssw icon cmg-cmssw

CERN CMG Tools repository. Installation instructions available on the twiki:

dqdxanalysis icon dqdxanalysis

LarSoft analyzer to study charge deposition for photon-electron classification in MicroBooNE

harvard_bai icon harvard_bai

Repo for Harvard's Biological and Artificial Intelligence course (Neuro 140/240).

heppy icon heppy

A python analysis framework for high energy physics

hitsanalysis icon hitsanalysis

LarSoft analyzer to study hits and space points distributions

over-parametrized icon over-parametrized

Investigating why modern neural networks generalize well despite being over-parametrized.

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