Grey Kuling, PhD

Grey Kuling is a medical researcher with a focus on artificial intelligence in medical data analysis. They hold a PhD in Medical Biophysics from the University of Toronto where they investigated the use of AI to quantify tissue features in breast MRI to assess cancer risk. Dr. Kuling is proficient in deep learning, natural language processing, and medical imaging analysis. They have authored multiple publications on breast MRI segmentation and AI applications in medical reports. Dr. Kuling is a Curriculum Fellow at Harvard Medical School, affiliated with the Core for Computational Biomedicine. Their current role focuses on teaching these valuable skills to HMS students, graduate students, researchers, and faculty. Dr. Kuling's research project tackles medical education with a focus on AI. They are developing a software program that utilizes natural language processing and large language models in medical education. In addition to their research, Dr. Kuling has experience supervising students and teaching statistics courses. They are passionate about science communication and have presented their work at various conferences.