Associate professor in the Department of Statistics at the Hebrew University.
Background
Research Interests: Probabilistic Graphical Models, fundamental representations and methods for inference and learning in large scale domains, structure learning, discovery of hidden variables and classes, transfer of knowledge between related classes/tasks. Recently interested in nonlinear high-dimensional representation of continuous or hybrid distributions. Real-life Applications: Applying fundamental techniques to challenging domains such as computational biology and machine vision. Focusing on the development of principled techniques based on probabilistic knowledge for diagnosis in the field of medical informatics.