Associate Professor Dan Garber joined the Faculty of Industrial Engineering and Management at the Technion in 2017. He received his Ph.D from the Technion in 2015 and spent one year (2016) as a Research Assistant Professor at Toyota Technological Institute in Chicago.

Dan’s research interests lie in the intersection of machine learning and continuous optimization. His main focus is on the development of efficient algorithms with novel and provable performance guarantees for machine learning, large-scale data analysis, sequential decision making and optimization problems.