Navid Samavati, PhD
About Navid Samavati, PhD
Navid Samavati, PhD, is a Machine Learning Manager with extensive experience in the field, having held positions at various organizations including Arterys and Overjet. He earned his PhD from the University of Toronto and has a background in machine learning research and development.
Current Role at Overjet
Navid Samavati serves as a Machine Learning Manager at Overjet, a position he has held since 2022. In this role, he is responsible for overseeing machine learning projects and leading a team focused on developing innovative solutions in the field of artificial intelligence and healthcare. His expertise in machine learning contributes to the advancement of Overjet's technology and its applications in dental diagnostics.
Previous Experience at Arterys
Prior to his current role, Navid Samavati worked at Arterys, where he held multiple positions from 2018 to 2020. He began as a Machine Learning Scientist, progressing to Senior Machine Learning Scientist, and finally serving as Machine Learning Manager. His tenure at Arterys spanned approximately 11 months in total, during which he contributed to the development of machine learning applications in medical imaging.
Educational Background
Navid Samavati completed his Doctor of Philosophy (PhD) at the University of Toronto from 2010 to 2015. He also holds a Master's degree from McMaster University, where he studied from 2008 to 2009. His academic journey began with a Bachelor of Science (B.Sc.) from the University of Tehran, completed from 2003 to 2007. This educational foundation has equipped him with a strong understanding of machine learning and its applications in healthcare.
Research Experience
Navid Samavati has a background in research, having worked as a Machine Learning Research Scientist at Perimeter Medical Imaging from 2016 to 2018. He also served as a Research Fellow at UMC Utrecht for two months in 2011. His research experience includes contributions to various projects focused on machine learning and its integration into medical imaging and diagnostics.
Early Career and Internships
In the early stages of his career, Navid Samavati gained practical experience as a Linac QA Assistant in the Radiotherapy Department at the University Health Network from 2013 to 2014. This role provided him with insights into the intersection of technology and healthcare, further informing his subsequent work in machine learning.