Profile

Research interests

David Lacko is interested in machine learning applications in protein engineering. More precisely, he works with small datasets for domain-specific predictors and with large language models for immunogenicity prediction. His research focuses on predicting the effects of non-human protein mutations on their immunogenicity and on how to mutate them to inhibit the immune system's response, which is helpful when designing a new generation of drugs. David is also interested in designing new experimental platforms and creating web server-based tools for protein engineering.

Education

2024 Ing., Information Technology and Artificial Intelligence, Faculty of Information Technology, Brno University of Technology
2022 Bc., Information Technology, Faculty of Information Technology, Brno University of Technology

Scientific output

2 research articles