Machine Learning |
Causal Inference |
Clinical Decision Support |

I am an Associate Professor in the Department of Statistics in the School of Mathematical Sciences at Tel Aviv University, and a visiting research scientist at Google. Previously, I was a professor at the Technion Faculty of Data and Decision Sciences, and before that I was a postdoctoral researcher in David Sontag’s Clinical Machine Learning Lab, first at NYU and later at MIT. I did my PhD in the Hebrew University under the guidance of Gal Chechik and Daphna Weinshall.

My research has three threads: (1) applying machine learning and causal inference to healthcare, building decision-support tools from large-scale health data; (2) developing methods and theory at the ML–causal inference interface, with an emphasis on individual-level (heterogeneous) effects and policy learning; and (3) bringing causal ideas into core machine learning, including robust learning, domain adaptation, and human–AI cooperation.