Goran mauša
Goran Mauša is a computer scientist and an associate professor at the Faculty of Engineering, University of Rijeka and head of Computer Science department. His research is focused on developing reliable and accurate prediction models based on machine learning, algorithmic solutions for optimization and generative AI models with application primarily in the field of peptides, but also environmental engineering, software engineering and robotics. His work about the development of a generative AI model for reshaping the discovery of self-assembling peptides was recently published in Nature Machine Intelligence. Goran participated in 20 research projects, supervised over 50 defended master and bachelor theses and 1 PhD thesis, and received the national annual award for research excellence in 2022.
Workshop
Machine learning is transforming how we approach discovery across scientific disciplines. From predictive classifiers to generative models exploring vast solution spaces, it enables knowledge extraction from experimental data. Rather than replacing human experts, these models complement our understanding of complex phenomena. This lecture will introduce key machine learning concepts and explain the principles behind training, validating, and testing popular models.
