Nadav is currently an Assistant Professor, IEM, the Technion. He was a Postdocoral fellow at LIONS under the guidance of Prof. Volkan Cevher, studying methods and theory related to machine learning problems. Previously, he held a postdoc position at Tel-Aviv university, working under the guidance of Prof. Marc Teboulle on various methods for nonconvex models. Nadav completed his PhD on block-type methods for nonconvex constrained problems, and his M.Sc. on the minimization of smooth functions over sparse symmetric sets, under the supervision of Prof. Amir Beck at the Technion. He has a B.Sc. in Industrial Engineering and Management, and a B.A. in Economics, both from the Technion. His research interests include first order methods, random methods, minmax problems, online learning, or nonconvex problems.