Curriculum Vitae

Awarded a prestigious DOC Fellowship for highly qualified doctoral candidates to conduct basic research in a field of their choice.

• PhD Student at the Computer Vision Lab (CVL), Preliminary Thesis: "Leveraging Vision Foundation Models for Few-Shot Segmentation in Low-Resource Domains"
• Supervised by Prof. R. Sablatnig
• International Computer Vision Summer School (ICVSS) – Participant (30% acceptance rate), 2025

• Major in Machine Intelligence with a Minor in Data Management at ETH Zurich
• Thesis: "Learning to Predict Security Constraints for Large-Scale Unit Commitment Problems", conducted in the Learning & Adaptive Systems Group, supervised by Prof. A. Krause

• Graduated with Distinction from TU Wien
• Qualified for the Bachelor with Honors program (Top 5%) & received multiple Scholarships of Excellence
• Thesis: "Weighting Intrinsic and Extrinsic Rewards in Reinforcement Learning"

Head Teaching Assistant for:

• Machine Learning for Visual Computing (100+ students); linear models, deep learning, optimization, model selection, kernels, Bayesian methods & Gaussian processes;
• Introduction to Visual Computing (550+ students); image processing, segmentation, motion, encoding, 3D vision;
• Computer Vision (70+ students); local feature & multiscale representations, scene understanding & reconstruction, multiview geometry.

Guest Lectures: 3D Vision, Document Analysis

Employed ML to accelerate mixed-integer programming for scheduling automotive applications on ADAS platforms, reducing worst-case solving time by 65%.

Pioneered a pipeline to segment engravings from surface normals (photometric stereo scans) of Etruscan mirrors, achieving human-level accuracy despite deterioration and limited data (59 mirrors). Designed a human-in-the-loop method, cutting manual labeling by 75%.

Developed a graph neural network with attention to detecting critical transmission lines in power grids, expediting solving for a cost-efficient schedule by 36%.

Enhanced a React web application to improve the company's hiring process.

• Co-organizer of the ICDAR 2026 conference.
• Co-organizer of the CVWW 2027 workshop.