Research Scientist
University of California San Diego
Karoline Kallis, PhD, is a Research Scientist in the Department of Surgery at the University of California San Diego. Originally from Germany, Dr. Kallis has a background in Medical Engineering and earned her PhD in Medical Physics from the Friedrich-Alexander University Erlangen-Nuremberg in Germany, where her research focused on quality assurance in interstitial breast brachytherapy using electromagnetic tracking.
Her postdoctoral training at UC San Diego spanned both Radiation Oncology and Radiology, where she developed imaging biomarkers based on Restriction Spectrum Imaging (RSI) for prostate cancer detection and created automated algorithms for brachytherapy planning. During this time, she also contributed to multi-institutional clinical research projects and published several peer-reviewed articles in high-impact journals.
Currently, Dr. Kallis is working on machine learning approaches to improve the early detection of peripheral artery disease using electronic health records. Her research also includes evaluating model generalizability across health systems and identifying demographic and structural biases in clinical data.
Dr. Kallis is proficient in Python, SQL, and Matlab, with extensive experience in image processing, predictive modeling, and database development. She has mentored junior researchers and presented her work at international conferences.
Fluent in German and English, and conversational in French and Spanish, she brings a multidisciplinary and collaborative approach to her work. She is particularly passionate about the intersection of data science and clinical medicine and is committed to developing impactful tools that support precision healthcare.