Dr. Samuel Luk

Biography

Samuel Luk is an Assistant Professor in the Department of Radiation Oncology at Boston University Chobanian & Avedisian School of Medicine. He obtained his PhD from the University of Arizona, working under the supervision of Professor Rolf Binder. Following his doctoral studies, he completed a postdoctoral fellowship at the University of Washington with Professor Alan Kalet. Luk is a board-certified medical physicist in therapeutic medical physics and has undergone residency training in medical physics at the University of Washington. His research interests focus on utilizing artificial intelligence (AI) and Bayesian approaches to detect potential errors in radiation oncology, ensuring the safe and efficient delivery of radiotherapy treatments for cancer patients. He has worked on developing a Bayesian network-based error detection model aimed at identifying potentially erroneous treatment plan parameters during radiotherapy physics plan reviews. Additionally, he is interested in data science and healthcare, collaborating on projects that assess clinical practices in radiation oncology across different countries. Luk has published 17 peer-reviewed original research articles and review articles in his field and has been invited to speak at multiple conferences on topics related to AI and quality assurance in radiation oncology. He is an active member of the American Association of Physicists in Medicine and the American Society for Radiation Oncology, contributing to various workgroups focused on preventing errors in radiation oncology through machine intelligence.

Research Interests

Experience