Wojciech Szpankowski

Wojciech Szpankowski is the Saul Rosen Distinguished Professor of Computer Science at Purdue University, with a courtesy appointment in Electrical and Computer Engineering. He holds a Ph.D. and M.S. in Electrical and Computer Engineering from Gdansk University of Technology (1980 and 1970, respectively). His career includes visiting roles at institutions such as McGill University, Stanford, and INRIA. He directs the NSF-funded Center for Science of Information, focusing on extending information theory to modern data challenges. Szpankowski is an IEEE Fellow, Erskine Fellow, and recipient of the Humboldt Research Award (2010).

His research spans algorithms, information theory, bioinformatics, and analytic combinatorics. Key contributions include work on data compression, network analysis, and quantum computing. He authored *Average Case Analysis of Algorithms on Sequences* (2001) and co-launched the interdisciplinary Institute for Science of Information (2008). His recent work addresses fundamental limits in machine learning, quantum algorithms, and privacy-preserving systems.

Research Interests: Bioinformatics, algorithm analysis, quantum computing, graph theory, and information-theoretic limits of learning. His work often bridges theory and applications, such as analyzing biological networks and developing efficient compression methods for dynamic data.

Awards:

• IEEE Fellow
• Erskine Fellowship
• Humboldt Research Award (2010)

Grants & Labs: Director of the NSF Science & Technology Center for Science of Information. Active in interdisciplinary projects, including temporal network analysis and quantum information theory.