Mohamed Kafsi, PhD
About Mohamed Kafsi, PhD
Mohamed Kafsi, PhD, is an Engineering Manager specializing in Data and Machine Learning at Nexthink, with a background in machine learning research and team leadership across various companies including Yahoo!, Swisscom, and Nokia.
Current Role at Nexthink
Mohamed Kafsi serves as the Engineering Manager for Data & Machine Learning at Nexthink. He has held this position since 2021, contributing to the development and implementation of data-driven solutions. His role involves overseeing projects that leverage machine learning technologies to enhance user experiences and operational efficiencies. Based in Lausanne, Vaud, Switzerland, he plays a key part in shaping the company's data strategy.
Previous Experience in Data and Machine Learning
Prior to his current role, Kafsi accumulated extensive experience in data and machine learning across various organizations. He worked at Yahoo! as a Machine Learning/AI Researcher for one year in the San Francisco Bay Area. He also held the position of Team Lead for Data, Analytics & AI at Swisscom from 2015 to 2021. Additionally, he served as a Machine Learning Researcher at Nokia and as a Data Scientist at Deutsche Telekom, further solidifying his expertise in the field.
Education and Academic Background
Mohamed Kafsi holds a Doctor of Philosophy (Ph.D.) in Machine Learning from Ecole polytechnique fédérale de Lausanne, where he studied from 2009 to 2015. He also earned a Master's degree in Communication Systems from the same institution between 2006 and 2009. Earlier, he completed a Bachelor's degree in Electrical Engineering & Computer Science at Carnegie Mellon University in 2006. His academic background provides a strong foundation for his work in data and machine learning.
Initiatives in Machine Learning Promotion
Kafsi co-founded the AppliedMachineLearningDays Africa, an initiative aimed at promoting machine learning in Africa. This initiative focuses on fostering knowledge and skills in machine learning, contributing to the growth of the tech ecosystem in the region. His involvement reflects his commitment to applying machine learning to solve real-world problems and to support the development of emerging tech communities.
Contributions to the Tech Ecosystem
Based in Lausanne, Switzerland, Mohamed Kafsi actively contributes to the local tech ecosystem through his leadership in data and machine learning. His work not only influences Nexthink's strategic direction but also supports broader initiatives that enhance the understanding and application of machine learning technologies. His efforts help bridge the gap between advanced data techniques and practical applications in various sectors.