Ron Katriel, PhD

Staff Data Scientist @ Komodo Health

About Ron Katriel, PhD

Ron Katriel, PhD, is a Staff Data Scientist at Komodo Health in the New York City Metropolitan Area with extensive experience in healthcare and life sciences.

Current Role at Komodo Health

Ron Katriel, PhD, currently holds the position of Staff Data Scientist at Komodo Health. He works within the New York City Metropolitan Area, applying his extensive experience in data science to develop advanced healthcare solutions. His expertise in data mining, predictive modeling, and machine learning plays a crucial role in contributing to the company's mission of reducing the global burden of disease through the use of data-driven insights.

Professional Background in Data Science

Ron Katriel has a diverse professional background in data science and analytics, spanning over two decades. He served as Principal Data Scientist at Acorn AI at Medidata, a Dassault Systèmes Company, from 2017 to 2021 in the New York City Metropolitan Area. Prior to this role, he was a Senior Data Scientist at Medidata Solutions from 2013 to 2017. He started his career as a Technical Specialist at Express Scripts in Franklin Lakes, NJ, followed by a role as Senior Applications Architect at Medco Health Solutions. His early career includes positions at Acquire Media, WavePhore Labs, and Dow Jones.

Educational Qualifications

Ron Katriel earned his Ph.D. and M.Sc. in Computer and Information Science from the University of Pennsylvania. He also holds a B.Sc. in Computer Engineering from Technion - Israel Institute of Technology. His academic background laid a strong foundation for his expertise in algorithm design and optimization, advanced statistical methods, and artificial intelligence.

Expertise in Healthcare and Life Sciences

With over ten years of experience in healthcare and life sciences, Ron Katriel specializes in clinical trial development and pharmacy benefit management. His deep understanding of algorithm design, predictive analytics, and system development life cycle methodologies has enabled him to lead the development of complex decision support systems in distributed computing environments. Ron's work often involves processing large datasets using advanced techniques in data mining and machine learning.

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