About

Sumith Kulal is a PhD student at Stanford University with a focus on the intersection of computer vision, programming languages, and machine learning. He is advised by Prof. Alex Aiken and Prof. Jiajun Wu and has previously worked with Prof. Supratik Chakraborty at IIT Bombay. Sumith has a strong research background and has worked as a research intern at Microsoft Research AI under the mentorship of Alex Polozov. He has also worked as a research intern at the University of Washington, where he worked on scalable expression synthesis and automatic incrementalization with Rohin Shah and Prof. Ras Bodik at the PLSE lab. Sumith's educational background includes a Bachelor's degree in Computer Science and Engineering from the Indian Institute of Technology, Bombay, and he is currently pursuing a Doctor of Philosophy degree in Computer Science at Stanford University, which is expected to be completed in 2023. Sumith has a strong technical skill set, including experience as a research scientist in the fields of computer vision, AI, and machine learning. He has a relevant experience of 3.70 years and is highly motivated to continue his research in these fields. Sumith's website provides more information about his research and publications.