Aapo Hyvärinen
Aapo Hyvärinen is a computer science professor whose research applies machine learning to neuroscience. He studied mathematics in Helsinki, Vienna, and Paris, earned a 1997 doctorate, and published a FastICA paper in 1999. He published a 2001 book on independent component analysis and held professorships in Helsinki and at UCL’s Gatsby Unit. He joined the Finnish Academy of Science and Letters in 2016 and wrote Painful Intelligence about using AI to understand human suffering. By 2025, he was a founding ELLIS Fellow and had proposed a noise-corrected Langevin method; as of October 2026, he is a Professor of Computer Science (Machine Learning) at the University of Helsinki.
- Now at
- University of Helsinki
- Works
- 397
- Citations
- 51,432
- h-index
- 62
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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1997–1999
Mathematics and FastICA
He earns a PhD in Information Science at Helsinki University of Technology in 1997 after studying undergraduate mathematics in Helsinki, Vienna, and Paris. His FastICA research includes a 1999 article on fast and robust fixed-point algorithms for independent component analysis.
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2001
An ICA textbook
In 2001, he publishes Independent Component Analysis, a book that introduces ICA and covers algorithms and applications in brain imaging and telecommunications.
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2003–2013
Professorships in Helsinki
He moves to the University of Helsinki in 2003, becomes Professor of Computational Data Analysis in 2008, and Professor of Computer Science in 2013.
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2016
Finnish Academy membership
He joins the Finnish Academy of Science and Letters in 2016.
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2016–2019
Professor at Gatsby
He serves as Professor of Machine Learning at UCL’s Gatsby Computational Neuroscience Unit from 2016 to 2019 while on leave from Helsinki.
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2022
AI and human suffering
In 2022, he publishes Painful Intelligence, which uses modern AI theory to understand human suffering.
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By 2025
A founding ELLIS Fellow
By 2025, he is a founding Fellow of the European Laboratory for Learning and Intelligent Systems and co-leads its Robust Machine Learning programme. His 2025 article proposes a noise-corrected Langevin algorithm that removes bias from noisy data, at least regarding first-order terms.
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As of October 2026
Professor at Helsinki
As of October 2026, he is Professor of Computer Science (Machine Learning) at the University of Helsinki. His work focuses on machine learning and its applications to neuroscience.
Sources and credits
Photo: cs.helsinki.fi; Aapo Hyvarinen Home Page; creator not stated. License: Not stated by source. Source: cs.helsinki.fi. Cropped to a square and resized. Ask us to remove or replace this photo.
- Aapo Hyvärinen - University of Helsinki Research Portal
- Publications by Aapo Hyvarinen: FastICA
- Independent Component Analysis: The Book
- Varsinaiset jäsenet - Tiedeakatemia
- Human AI learns to emulate pain: Aapo Hyvärinen’s book explores the relationship between suffering and intelligence
- A noise-corrected Langevin algorithm and sampling by half-denoising - University of Helsinki Research Portal
- Invited Speakers | Artificial Intelligence and Statistics Conference
- Aapo Hyvärinen | European Laboratory for Learning and Intelligent Systems
- Aapo Hyvarinen Home Page