Intelligent learning for general-purpose robots.
My goal is to enable robots to perform a wide range of tasks through intelligent learning. Naive reinforcement learning alone won't get us there — so I combine ideas from optimal control, information theory, and intrinsic motivation to build agents that learn efficiently and generalize across tasks and environments.
About
I came to robotics by an unusual route. I started in electrical engineering — designing RF and 5G chips at Qualcomm and Tel Aviv University — before moving into software and then robotics for my PhD. Working across these fields taught me to pick things up quickly and connect ideas that don't usually meet.
I also genuinely enjoy working with people. I've been a teaching assistant for several large courses — working closely and in person with students on a senior capstone, and helping teach Generative AI and reinforcement learning classes of up to a hundred students — which earned me my department's Graduate Teaching Assistant of the Year award. Explaining hard ideas clearly and helping students get unstuck is one of my favorite parts of the work.
Awards & Honors
- Dec 2025Graduate Teaching Assistant of the Year · Texas Tech University
- Apr 2025Outstanding Thesis Award · San José State University
Beyond research
See the galleryOutside the lab, you'll usually find me traveling and hiking, hanging out with my dog, or on the pickleball court. I like staying active, exploring new places, and taking pretty pictures along the way.
