Hi!

I am Matej Grcić, PhD candidate at University of Zagreb, Faculty of Electrical Engineering and Computing. Under supervision of prof. Siniša Šegvić, I work on safer deployments of deep models in the real world. More formally, my research topics include open-set and outlier-aware semantic segmentation with a specific focus on real-time applications such as autonomous driving. I also worked on semantic segmentation of traffic scenes with adverse driving conditions, which resulted in winning CVPR’22 Vision4AllSeasons competition. In parallel, I am a visiting PhD at EPFL supervised by prof. Maria Brbic and funded by Swiss Government Excellence Scholarship. I’m working on the discovery of novel cell subtypes from single-cell RNA transcriptomic data using machine learning. Practically, this includes the development of weakly-supervised machine learning models capable of discovering subclasses in long-tailed data distributions. I also spent some time at VRG Prague and BU Wuppertal.

Prior to my PhD, I received both master and bachelor degree from University of Zagreb while interning at LifeNome, Axilis, and CROZ.

Want to discuss or collaborate? Feel free to reach out via email.