Profile
Research interests
Jan is researching machine-learning-based methods of predicting mutational properties of proteins. He is a designer of SoluProtMutDB – a mutational DB for solubility data. He aims to improve understanding of protein solubility and stability changes upon mutations for applications in protein design.Education
2020 Ing., Bioinformatics and Biocomputing, Faculty of Information Technology, Brno University of Technology2017 Bc., Information Technology, Faculty of Information Technology, Brno University of Technology
Research stays
3/2025 Lab automation & management, Institute of Biochemistry, University of Greifswald, Germany4-5/2022 Machine learning on proteins, Institute of Media Informatics, Ulm University, Germany
Teaching
Artificial Intelligence in Biology, Chemistry, and BioengineeringBioinformatics
Hands-on Computational Enzyme Design Course
Summer School of Protein Engineering
Scientific output
3 research articles1 database