Research profile: Artificial neural networks, machine learning. Applications in medical decision support, high-throughput omics data management, survival analysis.
Pedagogical profile: Course responsible for "Fluid Dynamics" (FYTA14), "Introduction to Artificial Neural Networks and Deep Learning" (FYTN14/EXTQ40/NTF005F). Lecturer at "Basic Quantum Mechanics" (FYSB11). Recipient of the LUNA (Science Faculty Student Union) prize "teacher of the year" 2019.
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