Stefano Galelli
Full Professor at Columbia University
City of Ithaca, New York, United States
Summary
👤
Senior🎓
Top SchoolStefano Galelli is an Associate Professor and researcher specializing in the optimal operation and resilience of large-scale water resources systems, currently leading the CRITICAL Infrastructure Systems Lab at Cornell after faculty roles at SUTD. With a PhD from Politecnico di Milano, he blends environmental engineering, real-time control and data-driven emulation to develop algorithms and software for water-system optimization applied at city and regional scales. His work has earned international awards (including Hydrology and Earth System Sciences Editor’s Choice and JWRPM Best Paper) and an Early Career Research Excellence prize, reflecting both methodological impact and practical relevance. Beyond academia, he has built production-ready tools and C++/MatLab implementations for variable selection and emulation modelling, a background that helps translate complex models into operational decision-support systems.
12 years of coding experience
11 years of employment as a software developer
PhD Information Technology, PhD Information Technology at Politecnico di Milano
English, Portuguese
Github Skills (15)
transmission10
feature-selection9
python9
multi-objective-optimization9
matlab9
hydrology8
simulation7
algorithms7
energy7
machine-learning7
water6
electrical-engineering6
optimization6
power-systems5
cybersecurity4
Programming languages (5)
Github contributions (5)
Critical-Infrastructure-Systems-Lab/InfeRes
Sep 2023 - Jul 2025
Python package for inferring reservoir water extent, level and storage volume.
Contributions:1 release, 10 pushes, 1 tag in 1 year 10 months
python
Critical-Infrastructure-Systems-Lab/Multi-objective-feature-selection
Jun 2015 - Nov 2023
MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets
Contributions:1 push, 3 comments in 8 years 7 months
matlabfeature-selectionmachine-learningmulti-objective-optimization
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