Panos Tsilifis
Lead Engineer - Machine Learning & Statistical Modeling
City of Schenectady, New York, United States
Summary
👤
Senior🎓
Top SchoolPanos Tsilifis is a lead engineer specializing in machine learning and statistical modeling with nine years of experience applying probabilistic methods to industrial-scale reliability problems. Currently at GE Vernova, he develops probabilistic digital twins for predictive maintenance in nuclear and wind-turbine systems and has driven anomaly-detection and failure-prevention models across complex engineered systems. His background blends applied-mathematics rigor (Ph.D., USC) with hands-on reliability engineering, Bayesian optimization, and design-of-experiments to accelerate materials and component durability improvements. He has led projects from research to filed patents, contributed to cross-disciplinary software used across GE, and bridged domains from sovereign-risk forecasting at the World Bank to liquidity modeling in blockchain finance. Colleagues describe him as a project leader who turns advanced statistical ideas into deployable tools that inform high-consequence decisions.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at University of Southern CaliforniaEngineering Physics, Engineering Physics at KTH Royal Institute of TechnologyMaster of Science (M.Sc.) Applied Mathematical Sciences, Master of Science (M.Sc.) Applied Mathematical Sciences at National Technical University of Athens
Greek, English
Github Skills (3)
adaptation7
python4
chaos4
Programming languages (1)
Github contributions (5)
tsilifis/chaos_basispy
Feb 2017 - Nov 2019
Contributions:82 commits, 99 pushes, 1 branch in 2 years 9 months
tsilifis/chaos_basispy3
May 2020 - Oct 2022
Polynomial Chaos Basis Adaptation for Python 3
Contributions:1 PR, 4 pushes, 1 branch in 2 years 4 months
chaospythonpolynomialpython-3basis
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