William Sweeney
About William Sweeney
William Sweeney is a Senior Data Scientist with a strong background in theoretical physics and extensive experience in medical and dental imaging. He currently works at VideaHealth, where he applies AI solutions to enhance healthcare outcomes.
Current Role at VideaHealth
William Sweeney serves as a Senior Data Scientist at VideaHealth, a position he has held since 2022. In this role, he focuses on leveraging artificial intelligence to enhance healthcare outcomes, particularly in the medical and dental imaging sectors. His expertise in data science and machine learning allows him to tackle complex challenges within the healthcare domain.
Previous Experience at VideaHealth
Before his current role, William Sweeney worked as a Data Scientist at VideaHealth from 2020 to 2022. During this time, he contributed to various projects aimed at integrating AI technologies into healthcare solutions, enhancing the company's capabilities in medical imaging.
Educational Background
William Sweeney has an extensive educational background in physics. He earned a Doctor of Philosophy (PhD) from Yale University, where he studied from 2012 to 2020. He also holds a Master of Philosophy (MPhil) and a Master of Science (MS) in Physics from Yale University, completed between 2012 and 2014. Additionally, he obtained a Master of Science (MS) in Applied Physics from Johns Hopkins Whiting School of Engineering from 2009 to 2011, and an AB in Physics from the University of Chicago from 2005 to 2009.
Professional Experience in Research
William Sweeney has a significant research background, having worked as a Graduate Research Fellow at Yale University from 2012 to 2020. He also served as a Physicist at Johns Hopkins University Applied Physics Laboratory from 2009 to 2012. His research experience has contributed to his strong foundation in theoretical physics, which he applies to machine learning in healthcare.
Expertise in Medical and Dental Imaging
William Sweeney possesses extensive experience in the medical and dental imaging fields. His work focuses on applying artificial intelligence solutions to improve healthcare outcomes. His background in theoretical physics equips him with unique insights that enhance his ability to solve complex problems in these domains.