About
Egor Bakaev is a Research Fellow in the Algorithms and Complexity section at the Department of Computer Science, University of Copenhagen, affiliated with the Basic Algorithms Research Copenhagen (BARC) centre. His work focuses on theoretical computational methods with real-world applications in data-intensive fields.
His research spans algorithms, complexity theory, and combinatorial optimization, addressing fundamental questions about computational efficiency. The Algorithms and Complexity section bridges mathematical theory with practical implementations, particularly in machine learning systems and big data analytics, through projects supported by BARC and the Danish Center for Big Data Analytics (DABAI).
- Affiliation: Department of Computer Science (DIKU), University of Copenhagen
- Research Hub: Basic Algorithms Research Copenhagen (BARC) centre
- Contact: egba@di.ku.dk | +4535327457 | Universitetsparken 1, 2100 Copenhagen Ø
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