Miroslav Mihaylov
About Miroslav Mihaylov
Miroslav Mihaylov is an AI Principal Machine Learning Scientist currently working at Carelon since 2019. He holds a PhD in Experimental Physics and a Master's degree in Business Analytics from the University of Illinois Chicago, and has previous experience as a Senior Consultant at AArete and as an Independent Technology Consultant.
Current Role at Carelon
Miroslav Mihaylov serves as an AI Principal Machine Learning Scientist at Carelon. He has held this position since 2019, contributing to the development and implementation of advanced machine learning models and AI solutions. His work focuses on enhancing the capabilities of AI technologies within the organization, aiming to improve operational efficiencies and drive innovation.
Previous Experience in Consulting
Before joining Carelon, Miroslav worked as an Independent Technology Consultant from 2018 to 2019 in the Greater Chicago Area. He provided expert advice on technology solutions and strategies. Prior to this role, he was a Senior Consultant at AArete from 2016 to 2018, where he leveraged his analytical skills to support various client projects.
Academic Background and Education
Miroslav Mihaylov has an extensive academic background. He earned a PhD in Experimental Physics from the University of Illinois Chicago, where he studied from 2008 to 2015. Additionally, he obtained a Master’s Degree in Business Analytics from the same institution, studying from 2014 to 2016. Earlier, he completed a Master of Science in Experimental Physics from 2005 to 2008 and holds a degree in Theoretical and Mathematical Physics from Sofia University St. Kliment Ohridski, where he studied from 1997 to 2003.
Research Experience at University of Illinois Chicago
Miroslav worked as a PhD Research Associate at the University of Illinois Chicago from 2008 to 2015. In this role, he engaged in research projects that contributed to the field of experimental physics. His experience in academia has provided him with a strong foundation in scientific research and analytical methodologies.