Summary
Colin Laganier is a research engineer at the Alan Turing Institute specializing in Edge AI, federated learning, embedded machine learning and robotics, with eight years of hands-on experience. He holds advanced degrees from UCL (Robotics & Computation) and Imperial College (Design Engineering), and has applied his skills across industry placements and academic projects—from developing capacitive sensing firmware and PyTorch models at P&G to building IoT orchestration and 3D printing platforms at Imperial. Comfortable across C/C++, Python, embedded platforms (STM32, ESP32), and full-stack web stacks, he bridges research and productisation to move ML from prototype to deployed devices. Notably, he drove OTA parameter tuning and dashboard integration for rapid prototyping at P&G and led a student team to present their makerspace platform at an international conference, highlighting both technical depth and practical impact.
8 years of coding experience
1 year of employment as a software developer
Scientific Baccalauréat, Computer Science Track, Scientific Baccalauréat, Computer Science Track at Lycée Français Jean Monnet Bruxelles
Master of Engineering - MEng, Design Engineering, Master of Engineering - MEng, Design Engineering at Imperial College London
University College London
English, French, Spanish, Chinese