Panagiotis Petsagkourakis is a Sr Staff System Integration Engineer and research scientist with nine years’ experience blending machine learning, control theory and process systems engineering to deliver safe, data-efficient control and optimization solutions for complex chemical and bioprocesses. At Illumina and through academic roles at UCL and Imperial, he has translated hybrid physics‑based and data‑driven models into deployable MBDoE and model‑predictive control workflows, with particular strength in handling uncertainty and safety in flow-reactor and microreactor contexts. He has a strong publication and awards record from collaborative projects across four UK universities and routinely builds and teaches ML/MPC courses to train researchers. Comfortable in production and research settings, he codes in Python/Matlab and uses TensorFlow/PyTorch, Aspen Plus and COMSOL to bridge simulation and deployment. A less obvious strength is his proven track record of designing safe experiments under mechanical failure modes, reflecting a practical focus on robustness beyond algorithmic performance.
9 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 Manchester
linardatos school Peristeri
Master of Engineering (MEng) silver medal Chemical Engineering, Master of Engineering (MEng) silver medal Chemical Engineering at National Technical University of Athens
Real-time optimization using exploration strategies
Contributions:53 commits, 1 PR, 33 pushes in 11 months
optimizationreal-time
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Panagiotis Petsagkourakis - Sr Staff System Integration Engineer Scientist