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 (110)
spatial10
corona10
r10
r-package10
finance10
pcm10
open-data10
statistics9
cheminformatics9
dpc9
bloomberg9
python9
italia9
cudnn9
shiny-apps9
Programming languages (7)
Github contributions (5)
covid19datahub/R
May 2020 - Feb 2022
R Interface to COVID-19 Data Hub
Contributions:5 releases, 60 commits, 3 PRs in 1 year 9 months
r-packagedata-hubrstats
SparseTensorClassifier/stc
Jan 2021 - Nov 2022
Contributions:3 releases, 68 commits, 19 pushes in 1 year 10 months
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