About Me
Shengjun Kris Dong is a Ph.D. graduate student researcher at UC Berkeley, advised by Prof. Sophia Yakun Shao and Prof. Christopher W. Fletcher. Kris's research interests lie in domain-specific acceleration and hardware-software co-design.
Kris's research work encompasses methodology and infrastructure, spanning from algorithm optimization to hardware design. Recently, she innovated an infrastructure to enable agile design flows for domain-specific accelerators: RoSÉ, a unified simulation platform that combines hardware and software, enabling pre-silicon, full-stack, closed-loop evaluation of robotic systems.
Prior to joining Berkeley, she worked as a Software Engineer at Tesla and a Product Manager at Amazon. She has 6+ years of programming experience through internships and projects involving hardware architecture design, full-stack software/system development, and heterogeneous systems evaluation, targeting embedded machine learning, and robotic applications.
Before her PhD, Kris received a dual Master's degree in Electrical Engineering and Computer Science from UC Berkeley; She also holds a Bachelor of Science in Mathematics, a Bachelor of Science in Computer Science, and a Bachelor of Business Administration in Finance from UMass Amherst.