Panagiotis Petsagkourakis
Cambridge, England, United Kingdom
Summary
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Top SchoolPanagiotis Petsagkourakis is a Staff System Integration Engineer and Scientist (Machine Learning) at Illumina, applying machine learning to design safe, reliable process control systems. He focuses on model-based design of experiments, uncertainty-aware optimization, and hybrid physics-driven/data-driven modeling for bioprocesses and microreactors. A prolific collaborator, he has driven cross-institutional research with NTUA, Manchester, UCL, Leeds, and Imperial College London, resulting in more than 10 peer-reviewed publications and over 10 awards. His technical toolkit spans Python, Matlab, SQL, and scientific libraries (TensorFlow, PyTorch), with practical experience in Aspen Plus, COMSOL, and MathCAD, and he has built courses on machine learning and model predictive control across three universities. Based in Cambridge, he combines hands-on engineering with mentorship to push production-grade ML integrations while nurturing the next generation of researchers.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), President Doctoral Scholar, Doctor of Philosophy (PhD), President Doctoral Scholar at The University of Manchesterlinardatos school PeristeriMaster of Engineering (MEng), silver medal, Chemical Engineering, 9.77/10, Master of Engineering (MEng), silver medal, Chemical Engineering, 9.77/10 at National Technical University of Athens
English
Github Skills (4)
optimization7
machine-learning2
neural-network2
deep-learning2
Programming languages (1)
Github contributions (5)
panos108/simpleTorch
Aug 2020 - Jun 2021
Contributions:44 commits, 38 pushes, 1 branch in 10 months
panos108/GP-RTO-EI
Mar 2020 - Feb 2021
Real-time optimization using exploration strategies
Contributions:53 commits, 1 PR, 33 pushes in 11 months
optimizationreal-time
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