I am a Research Staff Member at IBM Research. I lead a team of researchers that focuses on facilitating the practical use of foundation models and increase their value for real-world applications. Inspired by the requirement emerging from real-world use-cases, we develop general solutions for annotation-efficient learning out-of-distribution generalization. My research interests include domain-adaptation, active-learning, zero-shot learning, weak-supervision, and self-supervision. I also conduct research on controllable text generation to help improving the quality and reliability of AI applications.
I received my Ph.D. in theoretical physics from Bar-Ilan University in 2001. In 2002 I was a postdoctoral fellow at Laboratoire de Physique Théorique de l'Ecole Normale Supérieure Paris, and from 2003 to 2006 I was a Postdoctoral Fellow and a Research Consultant at the Weizmann Institute of Science. Since 2006, I have been working as a research scientist in the hi-tech industry, starting off at Intel Research, and then joining IBM's Haifa Research Lab in 2010.