I am a Ph.D. student at the AI in Medicine Lab, supervised by Prof. Dr. Daniel Rückert at the Technical University of Munich (TUM). My research focuses on multimodal deep learning approaches for predicting cardiovascular diseases, utilizing MRI, Ultrasound, and ECG data. I hold a Master’s in Data Science from Skolkovo Institute of Science and Technology (Skoltech), where I designed a framework for Medical Image Captioning of X-rays using GPT models, published in the Nature Scientific Reports Journal. Previously, I worked as an AI Scientist at Philips Research Laboratories, developing advanced image improvement frameworks for medical imaging. Currently, my research focuses on a contrastive learning approach that synchronizes ECG data with Cardiac Magnetic Resonance Imaging (CMR) data to enrich ECG embeddings, enhancing cardiac health assessments.