Michal is a research engineer focused on image segmentation and classification using deep learning methods. He worked on multiple projects in the healthcare and diagnostics domain in an international company manufacturing healthcare devices. He is part of Green and Secure Environment team. Michal holds his bachelor’s degree from Faculty of informatics and information technologies, STU where he defended his bachelor’s thesis – Classification of volumetric medical image and other data using machine learning methods. He completed his master’s of machine learning in 2023 at Faculty of information technology, Brno university of technology with master thesis awarded the Dean’s prize dealing with meibograph image processing and detection of sebaceous/meibomian glands.