Research Interests

I am a graduate student at Stanford University studying Artificial Intelligence and Machine Learning. My research centers around deep learning and reinfrocement learning. In particular, I am interested in building algorithms and computational models that combine perception and automated decision making to create intelligent robotic systems. The projects I work on range from autonomous driving to automated surveillance systems. If you are interested in collaborating either on open-source software or research, feel free to contact me.

Academic and Personal Bio

I was born in Russia and moved to the Bay Area when I was 10. My Ph.D. path started at Cabrillo Community College where I studied Physics, Math and Computer Science. I later transferred to UC Berkeley, where I finished a Physics undergraduate degree. While at Berkeley, I had a deep fascination for the fundamental nature of our world. To that end, my work at Berkeley focused on creating algorithms that detect the elusive neutrino particle (while difficult to detect, neutrinos carry a lot of useful information about how our world works on the most fundamental levels). This work allowed me to stumble upon Machine Learning and AI, and I became fascinated with building intelligent systems. I finally ended up a Machine Learning/AI Ph.D. student at Stanford. I have a cute dog and an indifferent cat. In my spare time, I enjoy hiking, camping, and bike riding.