AI Researcher

I hold a Ph.D. in Software and Information Systems Engineering from Ben-Gurion University and was a postdoctoral fellow at Carnegie Mellon University. My research asks how people and intelligent agents can work well together, combining multi-agent systems, game theory, and machine learning, and I develop LLM-based methods that extract structure and meaning from large collections of text, for example predicting the authors of historical texts whose attribution has long been disputed.

I have more than a decade of hands-on experience taking AI from research to production. I lead NLP and LLM research at DICTA, I founded MashInnovateAI, an AI R&D consultancy that helps companies solve their core challenges with AI, and at Amdocs I designed and deployed a churn-prediction system that saved millions of dollars.

My work received the Best Paper Award at ACM EC 2016 and was selected as a Communications of the ACM Research Highlight, with papers in JACM, AIJ, ACM TIST, CHI, IJCAI, and AAMAS (see Publications). I have taught at five institutions, twice received Ben-Gurion University's Excellence in Teaching Award, and serve as a reviewer for AAAI, IJCAI, AAMAS, KDD, CHI, EC, and ECAI.