Aapo Johannes Hyvärinen (born 1970 in Helsinki) is a Finnish professor of computer science at the University of Helsinki and known for his research in independent component analysis.
His doctoral thesis, titled "Independent component analysis: A neural network approach",[2] introduced the FastICA algorithm.
Since then, Hyvärinen has conducted research especially in relation to the independent component analysis, as well as score matching (also known as Hyvärinen scoring rule).
[3] Hyvärinen has been a member of the Finnish Academy of Sciences since 2016.
From August 2016 to March 2019, he held a professorship in machine learning at the Gatsby Computational Neuroscience Unit of the University College London.