Jessica Xin Hjaltelin is an Associate Professor in the Department of Public Health at the University of Copenhagen's Faculty of Health and Medical Sciences, specializing in Health Data Science and AI. She also serves as a Guest Researcher at the Novo Nordisk Foundation Center for Protein Research in the Brunak Group. Her research focuses on applying artificial intelligence and data science techniques to healthcare data, particularly for cancer detection and disease trajectory analysis. Key areas include: AI-aided mining of medical records for cancer screening Disease progression modeling using population-wide health data Pancreatic cancer risk prediction and early detection Multi-cancer risk stratification using national health registries Visualization of disease trajectories from electronic health records Dr. Hjaltelin's recent work demonstrates significant impact, with publications in high-impact journals including Nature Medicine, The Lancet Oncology, and The Lancet Digital Health. Her research on pancreatic cancer has received substantial attention, with one paper picked up by 106 news outlets and referenced in Wikipedia. She collaborates extensively with researchers across multiple institutions on projects bridging data science and clinical medicine. Among her notable scientific contributions: Development of deep learning algorithms for predicting pancreatic cancer risk Creation of multi-cancer risk stratification models using national health data Analysis of pancreatic cancer symptom trajectories from registry data Research on biomarkers for treatment response in metastatic pancreatic cancer Dr. Hjaltelin maintains active collaborations with clinical researchers and participates in significant oncology studies, including the CheckPAC clinical trial investigating immunotherapy combinations for pancreatic cancer.