معرفی
Samuel Kaski is a Professor in the Department of Computer Science at Aalto University, where he leads the Probabilistic Machine Learning group and contributes to the Finnish Center for Artificial Intelligence (FCAI) and Helsinki Institute for Information Technology (HIIT). He also holds a joint appointment with the Manchester Centre for AI Fundamentals (AI-FUN) at the University of Manchester.
- Doctoral degree in Engineering and Technology from Helsinki University of Technology (1997)
- Master's degree in Engineering and Technology from Helsinki University of Technology (1993)
Research Interests
His work focuses on probabilistic modeling, Bayesian inference, and collaborative AI, particularly in applications to healthcare, neuroscience, synthetic biology, and user interaction. Recent projects integrate human feedback into generative models for drug discovery and molecular design, addressing distribution shifts and robust learning.
Publication Trends
His recent articles emphasize Bayesian experimental design, robustness in neural networks, and human-AI collaboration. Key subfields include generative chemistry, privacy-preserving learning, and simulation-based inference.
Scientific Recognition
- Aalto SCI Award for Innovation of the year (2018)
- Academy Professor title (2016)
- Member of Finnish Academy of Science and Letters (2017)
Leadership & Grants
Kaski directs the ELLIS Institute Finland and leads EU-funded projects like FinBioFAB (2025-2029) and PRIMUS (2024-2026), focusing on biomanufacturing and secure health data. He has mentored 36 PhD students, with 21 alumni in faculty positions.
