Summary
Alexandre Devert is a researcher and machine-learning engineer with 11 years of experience building data-mining and numerical optimization tools for drug discovery and laboratory workflows. Currently at Adagene, he designs ML-driven systems to guide antibody design and automate lab tasks, translating research-grade algorithms into practical biotech software. He previously taught data mining and software engineering at the University of Science and Technology of China and developed scalable stochastic optimizers during postdoctoral work at the Chinese Academy of Sciences. Comfortable across academia and industry in East Asia and now based in Bordeaux, he combines a PhD in computer science with hands-on robotics and control experience, reflecting a knack for applying optimization research to real-world engineering problems. A pragmatic coder (GitHub: "Will code for food"), he favors solutions that balance state-of-the-art methods with deployability in lab and production settings.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Université Paris Sud (Paris XI)
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at Université Bordeaux I
Master's degree, Computer Science, Master's degree, Computer Science at Université Pierre et Marie Curie (Paris VI)
French, English, Vietnamese, Chinese