Lancelot Blanchard is a research-focused software engineer blending nine years of experience across music production, AI research, and full-stack engineering. Currently a Research Assistant at the MIT Media Lab, he explores the intersection of music and machine learning within the Responsive Environments group, pairing creative practice with empirical methods. His background includes hands-on data and product work at Amazon and API engineering at Privitar, demonstrating fluency with cloud services, data pipelines, and Java/Spring ecosystems. Trained in AI and ML at Imperial College London and with formal piano honors from Conservatoire de Rennes, he bridges rigorous technical research and deep musical craft. He builds tools that translate artistic questions into reproducible systems—an engineer who composes both code and sound.
9 years of coding experience
1 year of employment as a software developer
Visiting Research Student, Visiting Research Student at Massachusetts Institute of Technology
Master of Engineering - MEng, Computing (Artificial Intelligence & Machine Learning), Master of Engineering - MEng, Computing (Artificial Intelligence & Machine Learning) at Imperial College London
CEM, Piano, Honours, CEM, Piano, Honours at Conservatoire à rayonnement régional de Rennes
British International Option of the French Baccalaureate, Science, Highest Honours, British International Option of the French Baccalaureate, Science, Highest Honours at Lycée Victor et Hélène Basch
Our solution the Imperial Colellege Computing dept. first year end of year project, an ARM emulator and assembler, along with its extension, an autonomous chess player powered by computer vision and AlphaZero
Contributions:52 commits, 117 pushes, 2 branches in 2 years 1 month
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Lancelot Blanchard - Research Assistant at MIT Media Lab