Our current research topics span from blockchains and decentralized systems via machine learning and statistics to computational genomics.
First principle approach to improve the blockchain technology to make it scalable, accessible to everyone on the Internet.
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Develop theoretically sound and practically relevant algorithms for general data science
We develop principled approaches for both the computational and statistical parts of sequencing analysis, motivating better assembly algorithms and single-cell analysis techniques.