Emanuele Guidotti
Postdoctoral Researcher at Lake Lucerne Institute
Lugano, Ticino, Switzerland
Summary
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Senior🎓
Top SchoolEmanuele Guidotti is a researcher-engineer bridging quantitative finance and computational statistics with a decade of experience across academia and industry. Currently a postdoctoral researcher at USI and Lake Lucerne Institute, he combines a PhD focus on financial markets with hands-on algorithmic portfolio generation and IT infrastructure management from his time as a partner at Algo Finance. He has taught advanced data science courses, conducted research at The University of Tokyo, and consistently applies rigorous quantitative methods to real-world trading and data challenges. Known for top academic honors in physics and quantitative finance, he blends mathematical depth with pragmatic software and data engineering skills. An uncommon strength is his ability to move fluidly between teaching, scholarly research, and production-grade algorithmic systems.
10 years of coding experience
University of MilanHigh School Diploma, Science, 100/100, High School Diploma, Science, 100/100 at IIS CremonaPhd, Financial Markets, Phd, Financial Markets at Université de Neuchâtel
English, Italian
Github Skills (115)
bloomberg10
hermite10
classifier10
laplacian10
coordinate-systems10
einstein10
r10
gradient10
finite-difference10
database10
symbolic-differentiation10
r-package10
finance10
pcm10
hessian10
Programming languages (7)
Github contributions (5)
SparseTensorClassifier/stc
Jan 2021 - Nov 2022
Contributions:3 releases, 68 commits, 19 pushes in 1 year 10 months
eguidotti/bidask
May 2022 - Nov 2022
Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices
Contributions:3 reviews, 39 commits, 3 PRs in 6 months
bidpythonspreadspricesbid-ask
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