Julien Horwood is a Machine Learning researcher and practitioner with nine years of experience bridging academic rigor and industry impact, currently pursuing a PhD in the Machine Learning Group at the University of Cambridge. His work focuses on data-efficient and robust deep learning methods with applied interest in drug discovery, reflecting prior roles as Senior Scientist and ML researcher at Valence Discovery. Julien combines a strong mathematical and CS foundation (BSc, MSc) with hands-on experience in applied ML projects at Statistics Canada and bioinformatics research, enabling practical solutions for noisy, high-stakes data. Rooted in both philosophical and scientific curiosity, he pursues innovation that is socially aware and entrepreneurially minded, aiming to translate research advances into real-world biomedical applications. An uncommon thread through his career is moving between public sector statistics, startup R&D, and top-tier academic research—giving him a rare perspective on reproducibility and deployment in regulated domains.
9 years of coding experience
4 years of employment as a software developer
MSc, Computer Science, Specialization in Machine Learning, MSc, Computer Science, Specialization in Machine Learning at Mila - Quebec Artificial Intelligence Institute
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of Cambridge
Mathematics and Computer Science, Mathematics and Computer Science at Universidad de Granada
BSc, Mathematics and Computer Science, BSc, Mathematics and Computer Science at University of Ottawa
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Julien Horwood - Doctoral Student at University of Cambridge