Pavel Sulimov

Dr. Pavel Sulimov is a Researcher at the ZHAW School of Engineering, affiliated with the Intelligent Information Systems research group at ZHAW Zurich University of Applied Sciences. His work focuses on advancing machine learning applications in database systems, quantum computing, bioinformatics, and network analysis. He is a team member in projects such as DataGEMS (Horizon Europe) and GraphQueryML (SNSF/DFG), contributing to query optimization and quantum-inspired technologies.

His research interests span machine learning-driven query optimizers, quantum algorithms for database cardinality estimation, proteomics data analysis using neural networks, and network embedding for co-authorship link prediction. His recent work explores the behavior of learned query optimizers and bias in mass spectrometry-based peptide identification.

Pavel’s publications reflect interdisciplinary strengths, bridging database systems with quantum computing and applying machine learning to both bioinformatics and collaborative network analysis. His contributions emphasize practical applications in data management and computational biology.