Serli Kopar

Serli is a PhD student at the Hertie AI and an IMPRS-IS scholar, driven by a passion for making healthcare more accessible and human-centered. Her research explores how non-invasive signals such as speech and drawings can be combined into multimodal AI models for early disease detection and monitoring. She is particularly excited about integrating knowledge graphs, agentic systems, and causal reasoning into her work. Outside academia, Serli enjoys curling up with a good book under many blankets, cooking, singing, playing instruments, and engaging in highly competitive board games.