Summary
Clement Gohlke is a Data Scientist and Tech Lead with nine years' experience applying machine learning to energy systems and research-grade problems. He currently leads ML and orchestration work at Beebop.ai, optimizing residential assets like batteries, EV chargers and heat pumps to lower costs and reduce carbon emissions. Previously he led work packages at Centrica on field-deployed control algorithms and has a background spanning 3D generative models, cloud migrations, and backend engineering. Comfortable bridging industry and research, he brings both practical deployment experience and a strong academic foundation from EURECOM and HKUST. Trilingual in German, French and English, he enjoys turning optimization research into production systems that deliver measurable grid flexibility.
9 years of coding experience
3 years of employment as a software developer
Exchange, Computer Science, Exchange, Computer Science at Ecole normale supérieure
Master's degree, Data Science, Master's degree, Data Science at EURECOM
Hong Kong University of Science and Technology (HKUST)
English, German, French, Spanish