About Me

My name is Daniel Israel, and I am currently a Computer Science PhD student at UCLA. I am co-advised by Guy Van den Broeck and Aditya Grover. My research goal is to produce more robust, data efficient, interpretable, and intelligent systems. To this end, I aim to leverage causal world models for the purpose of representation learning and generative modeling.

Before starting my PhD, I am thankful to have worked with professors Anima Anandkumar, Frederick Eberhardt, and Pietro Perona at Caltech. In my spare time, I enjoy playing soccer and strategy games such as poker and chess.