Antti Honkela is a Professor of Data Science at the University of Helsinki with 17 years of experience in machine learning research, specializing in differential privacy, Bayesian methods, and applications in computational biology and health. He leads the Privacy-preserving and Secure AI programme at FCAI and heads the Privacy and Infrastructures work package for the European Lighthouse on Secure and Safe AI (ELSA), driving European research coordination in secure AI. His work focuses on enabling valuable use of sensitive data while rigorously protecting privacy, blending theoretical advances with practical infrastructure and policy-aware solutions. Antti combines deep academic rigor with program leadership, translating complex privacy guarantees into deployable ML methods for health and biology. Based in Helsinki, he is recognized for bridging Bayesian ML with differential privacy in interdisciplinary settings. Colleagues note his knack for making abstract privacy concepts operational in real-world research collaborations.
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