I lead the MILES team in Google Research, whose focus is on Medical Imaging. We are interested applying the latest techniques in computer vision - including classification, detection, segmentation, and metric learning - to medical imaging problems. We are also interested in the general area of "Data Deficient Computer Vision" - including both small dataset scenarios, as well as weak labelling scenarios. Data deficiency is very relevant to the medical imaging setting, but is also of interest to the broader vision community.

Biographical background: I received my AB in Physics from Princeton University (Magna Cum Laude, Phi Beta Kappa, Sigma Xi) in 1993, and my PhD in Engineering Sciences from Harvard University in 2000. From 2000-9, I was Assistant Professor, and then Associate Professor (with tenure), in the Computer Science Department at Rensselaer Polytechnic Institute (RPI) (Troy, NY). In 2007, I came to Israel as a Fulbright Fellow and Visiting Professor of Applied Mathematics and Computer Science at the Weizmann Institute of Science. I then permanently relocated to Israel taking up a series of positions in industrial research labs and academia, including Hewlett-Packard (HP) Labs, IBM Research, and Microsoft Research, before moving to Google Research. In addition to the Fulbright Fellowship, I've received the National Science Foundation CAREER Award. I've been an investigator on several grants from NSF, NIH, and the US Army. My prior research focused on mathematical techniques for computer vision (PDEs, combinatorial optimization), algorithmic algebraic topology, and depth sensing.

For a full list of publications, please see my scholar page.