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Oct, 2026 Paper titled “Not All Nodes Are Created Equal: Homophily-Aware Stratification for Stable GNN Evaluation” accepted at the Learning on Graphs Conference (LoG) 2026.
Dec, 2025 Presented our poster “Stratify or Die: Rethinking Data Splits in Image Segmentation” at NeurIPS 2025 in San Diego.
Nov, 2025 Paper titled “Stratify or Die: Rethinking Data Splits in Image Segmentation” accepted at Neural Information Processing Systems [NeurIPS], San Diego, 2025.
Nov, 2025 Started new position at Research Assistant at Chair of Machine Learning in Medicine at University of Bayreuth.
Jul, 2025 Attended the AI4Health Summer School in Paris, with workshops on causal ML (group of Prof. David Sontag), computational pathology (group of Prof. Jakob Nikolas Kather) and diffusion models for medical imaging (group of Dr. Ninon Burgos).
Oct, 2023 Started new position at Doctoral Researcher at Machine Learning and Data Analytics Lab, FAU Erlangen-Nürnberg.
Oct, 2023 Conference proceeding titled “AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study” published at IEEE ISGT 2023, Grenoble.
Sep, 2023 Graduated with Double Masters in Computational Engineering from FAU Erlangen-Nürnberg and Computational Science from USI, Lugano.