Summary
Alexandre Thiery is an Associate Professor at the National University of Singapore, where he has been shaping research in Bayesian inference, computational statistics, and signal processing for biomedical imaging and genomics since 2020. With nine years of academic experience, he previously led as Assistant Professor and Research Fellow at NUS and co-founded Abyss Processing, bridging scholarly work with real-world data-driven solutions. His work spans data assimilation, machine learning, and statistical methods that advance imaging and genomics, reflecting a strong blend of theory and application. He earned a PhD in Probability and Statistics from the University of Warwick, and studied Mathematics at the University of Cambridge and École normale supérieure. Based in Singapore, he combines rigorous methodological development with leadership in industry collaboration through Abyss Processing. He is known for translating complex statistical models into practical tools that improve biomedical analysis.
9 years of coding experience
8 years of employment as a software developer
Mathematics, Mathematics at Ecole normale supérieure
Mathematics, Mathematics at University of Cambridge
PhD, Probability and Statistics, PhD, Probability and Statistics at University of Warwick
French