Paul Inman
About Paul Inman
Paul Inman is a Postdoctoral Researcher specializing in Artificial Intelligence and Machine Learning at Oak Ridge National Laboratory, where he has worked since 2021. He holds a PhD in Physics from Oklahoma State University and has a background in Health/Medical Physics and Mathematics.
Work at Oak Ridge National Laboratory
Paul Inman serves as a Postdoctoral Researcher in Artificial Intelligence and Machine Learning at Oak Ridge National Laboratory. He has been in this role since 2021, contributing to advancements in the integration of AI and machine learning within the field of radiation therapy. His work focuses on enhancing treatment outcomes through innovative research methodologies.
Education and Expertise
Paul Inman holds a Doctor of Philosophy (PhD) in Physics from Oklahoma State University, where he studied from 2017 to 2021. He also earned a Master of Science (MS) in Health/Medical Physics from the University of Oklahoma Health Sciences Center, completing his studies from 2014 to 2016. Additionally, he obtained a Bachelor's degree in Physics and Mathematics from Oklahoma Baptist University, studying from 2010 to 2014. His educational background provides a strong foundation for his research in artificial intelligence and machine learning.
Background in Research
Prior to his current position, Paul Inman worked as a Graduate Research Assistant in Physics at Oklahoma State University from 2017 to 2021. During this time, he gained valuable experience in conducting research and applying theoretical knowledge to practical problems. His research includes the use of Monte Carlo simulations to improve understanding of radiation therapy outcomes.
Research Focus and Techniques
Paul Inman's research primarily focuses on the integration of artificial intelligence with machine learning to enhance radiation therapy techniques. His work aims to improve treatment efficacy and patient outcomes through innovative approaches in medical physics. The application of Monte Carlo simulations is a key aspect of his research methodology, allowing for detailed analysis and modeling of radiation interactions.