Alexander Quessy

alexander@quessy.io
I’m a machine learning researcher specializing in Reinforcement Learning (RL) and robotics, with a focus on developing AI systems that can operate safely in real-world environments. I recently completed my PhD at the Bristol Flight Lab, advised by Thomas Richardson and Sebastian East, where I developed autonomous landing systems for aircraft and created scalable simulation frameworks for training RL agents.
My research addresses core challenges in autonomous systems: learning from sparse rewards, generalizing across environments, and maintaining safety in critical applications. I’ve built systems that combine deep learning with control theory, deployed models on real aircraft, and created open-source tools used by the robotics community.
Background: PhD and MEng in Aerospace Engineering from the University of Bristol. Also, a commercial pilot and flight instructor, bringing real-world understanding of safety-critical systems to my research.