Ruohua Li

Ruohua Li has had a diverse range of work experience in the field of technology. They started their career in 2019 as a Verification Intern at Cambricon Technologies, where they developed an automatic testbench generator to improve workflow and interactivity. After this, they worked as a Research Assistant on Pedestrian Trajectory Forecasting at Human-Centered Autonomy Lab@UIUC, where they worked on implementation of various models and novel movement prediction model based on Transformer and Bert model. Ruohua also worked as a Software Engineer Intern at Gatik, where they developed a dedicated system in C++ for remote access of real-time in-vehicle information and a UI system in Javascript for information visualizations. They also developed a networking server hosted individually. Currently, Ruohua is working as a Research Assistant in Robotics at the Situated Language and Embodied Dialogue (SLED) Lab@UMich.

Ruohua Li completed a Bachelor's degree in Computer Engineering from the University of Illinois Urbana-Champaign between 2017 and 2021. Currently, Ruohua Li is pursuing a Master of Science in Electrical and Computer Engineering from the University of Michigan - Ann Arbor, which is expected to be completed between 2021 and 2023.