Artificial inteligence in protein engineering
Dr. Mazurenko leads a team focused on machine learning, automation, and data analysis in protein engineering–a fascinating area of research at the interface of biochemistry, biophysics, computer science, and mathematics. The team’s goal is to delve into data–such as experimental measurements, protein sequences and alignments, or computer simulations–to gain insights into the underlying biophysical mechanisms and create reliable and interpretable tools for the design of improved protein variants. Those enhanced variants can then be used in numerous applications, from healthcare to the food industry and bio-degradation.
Stanislav’s background is in nonlinear systems analysis of various processes in biology, physics, and economics: modelling, optimisation, and parameter estimation, theoretically and practically. He received his Ph.D. in applied mathematics and cybernetics from Lomonosov Moscow State University in 2013. He then joined the protein engineering group Loschmidt Laboratories at Masaryk University as a postdoc to work on data analysis and modelling of protein thermal denaturation. In 2018, he completed a one-year stay at the University of Liverpool, working in nonlinear optimization. He now teaches the course Artificial Intelligence in Biology, Chemistry, and Bioengineering.