Nuaman Asbeh, Ph.D
About Nuaman Asbeh, Ph.D
Nuaman Asbeh, Ph.D, is a Senior Data Scientist with extensive experience in machine learning and data analysis. He holds a Ph.D. from Ben-Gurion University and has worked in various roles across multiple organizations, including Centrical and BigaBid.
Work at Centrical
Nuaman Asbeh has been employed as a Senior Data Scientist at Centrical since 2021. His role involves utilizing advanced data science techniques to enhance the company's offerings. Centrical focuses on employee engagement and performance management, and Asbeh contributes to the development of data-driven solutions that support these objectives.
Education and Expertise
Nuaman Asbeh holds a Ph.D. in Industrial Engineering and Management from Ben-Gurion University of the Negev, where he studied from 2008 to 2013. His research area was Machine Learning, specifically focusing on causal graphical models and clustering analysis. He also earned a Master's degree in Statistics with a thesis in Medical Informatics from the University of Haifa, and a Bachelor's degree in Computer Engineering from the Technion - Israel Institute of Technology.
Background
Asbeh has a diverse professional background in data science and machine learning. He began his career as a Teaching Assistant at Ben-Gurion University and later served as a Lecturer there. His experience includes roles at various organizations, such as Chief Data Scientist at BigaBid and Senior Data Scientist at Appnext, Intango, and SecuredTouch, where he developed machine learning models for authentication and fraud detection.
Achievements
During his career, Nuaman Asbeh has developed significant machine learning models for various applications. At SecuredTouch, he focused on continuous authentication and fraud detection by analyzing user behavior. His postdoctoral research at Shen-Orr Lab involved creating machine learning techniques for identifying immune system cellular subpopulations. Additionally, at BigaBid, he led the data science team in developing machine learning technology for automated advertising.