Pantelis R. Vlachas

Pantelis R. Vlachas has a diverse range of work experience. Pantelis R. started their career as a Development intern at the German Aerospace Center (DLR) where they worked on designing an optimal controller for a robotic hand. Pantelis R. also worked on creating a PCB board for controlling a color display.

Pantelis R. then moved on to become a Teaching Assistant and Graduate Research Assistant at TU München, where they worked on various projects involving modeling robots and developing obstacle avoidance techniques.

After that, Pantelis pursued a PhD at ETH Zürich, specializing in data-driven modeling, machine learning, uncertainty quantification, and decision theory for fluid mechanics problems. Pantelis R. conducted research in this field until 2022.

From 2021, they held multiple roles, starting as an Associate in Applied Mathematics at the Harvard John A. Paulson School of Engineering and Applied Sciences. Pantelis R. then joined AI2C Technologies as a Machine Learning Research Scientist and later was promoted to Head of Machine Learning.

Their most recent role starting in 2023 is as a Research Affiliate at the Chair of Structural Mechanics and Monitoring at ETH Zurich.

Overall, Pantelis R. Vlachas has an extensive background in research and development, with a focus on machine learning and applied mathematics.

Pantelis R. Vlachas holds a Master of Science (M.Sc.) degree in Electrical, Electronics and Communications Engineering from the Technical University of Munich, which they earned from 2014 to 2016. Prior to that, they obtained a Bachelor of Science (B.Sc.) degree in the same field of study from the same university, graduating in 2014.