I am a PhD candidate in Electrical Engineering at the University of Ljubljana (Slovenia). As part of my PhD journey, I have undertaken two research internships: one as an ASEF Junior Fellow at the Computer Laboratory, University of Cambridge (UK), and another as a Fulbright Scholar at Johns Hopkins University (USA), which is currently ongoing.
My research focuses on medical image analysis, 3D semantic segmentation, modeling of human anatomy, development of validation metrics, and generative models for synthetic data creation. I am particularly interested in virtual imaging trials, digital patient twins, and their applications in radiotherapy, disease diagnosis, AI tool validation, and the creation of next-generation tools for precision and personalized medicine.
For a full list of my publications, please refer to my CV or Google Scholar. Feel free to reach out if you’d like to collaborate! 😃
Presented a poster, participated in lectures and coding tutorials on various topics including: Diffusion Models and Generative AI, Reasoning with Deep Learning, Bayesian Deep Learning, Deep Reinforcement Learning, Transformers, Self-Supervised Learning, Visual-Language Models, Geometric Deep Learning, Advanced Architectures, Robustness & Fairness, and Causality.
These sessions were led by some of the field’s leading experts, such as Alfredo Canziani, Sander Dieleman, Nenad Tomašev, Petar Veličković, Matko Bošnjak, Yee Whye Teh, Aleksandra Faust, Çağlar Gülçehre, Chris Dyer, Jovana Mitrović, Michael Bronstein, Razvan Pascanu, Martin Vechev, Ivana Malenica, and others.
GPA: 10.0/10.0
Courses included:
Master’s Thesis: Regression models for predicting cerebrospinal fluid biomarkers of Alzheimer’s disease
GPA: 10.0/10.0
Courses included:
Activities and societies: