Tomasz Kociumaka
Short bio
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2025- -
2024–2025 Research scientist (R3)
INSAIT, Sofia, Bulgaria -
2022–2024 Postdoctoral researcher
Max Planck Institute for Informatics, Germany - Department 1: Algorithms and Complexity
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2020–2022 -
2019–2020 -
2019 PhD in Computer Science
University of Warsaw, Poland - Advisor: Wojciech Rytter
- Thesis: Efficient Data Structures for Internal Queries in Texts
Research interests
My research revolves around designing efficient algorithms for processing strings (texts, sequences) with a particular focus on sequence similarity measures, approximate pattern matching, lossless data compression, and text indexing data structures. I study string problems from multiple perspectives, including fine-grained complexity, dynamic algorithms, streaming, sketching, sublinear algorithms, and quantum computing.
Selected publications
2025
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Pattern Matching under Weighted Edit Distance66th Annual Symposium on Foundations of Computer Science, FOCS 2025
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Near-Optimal Property Testers for Pattern Matching66th Annual Symposium on Foundations of Computer Science, FOCS 2025
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Dynamic Dyck and Tree Edit Distance: Decompositions and Reductions to String Edit Distance66th Annual Symposium on Foundations of Computer Science, FOCS 2025