Ruo Ping Dong
About Ruo Ping Dong
Ruo Ping Dong is a Research Scientist currently employed at Riot Games in the San Francisco Bay Area. He holds a Bachelor's degree in Electrical Engineering Technologies from National Tsing Hua University and a Master's degree in Computer Science from Carnegie Mellon University.
Work at Riot Games
Ruo Ping Dong has been employed at Riot Games as a Research Scientist since 2024. In this role, he contributes to various research initiatives within the company, which is known for its focus on game development and player experience. His position is based in the San Francisco Bay Area, where he collaborates with other professionals in the gaming industry.
Education and Expertise
Ruo Ping Dong holds a Bachelor's degree in Electrical Engineering Technologies from National Tsing Hua University, where he studied from 2013 to 2017. He furthered his education at Carnegie Mellon University, earning a Master of Science in Computer Science from 2018 to 2019. His academic background provides a strong foundation for his work in machine learning and research.
Previous Experience in Machine Learning
Prior to his current role at Riot Games, Ruo Ping Dong worked at Unity Technologies in various capacities. He served as a Machine Learning Engineer from 2020 to 2021 and later as a Senior Machine Learning Engineer from 2021 to 2023. Additionally, he completed a Machine Learning Internship at Unity in 2019. His experience in machine learning spans several years and includes significant contributions to projects in the field.
Research Roles and Internships
Ruo Ping Dong has held several research positions throughout his career. He worked as a Research Assistant at Academia Sinica in Taiwan from 2016 to 2018 and as a Summer Research Intern in 2016. He also served as a Research Assistant Intern at Cornell Tech for four months in 2020. These roles have provided him with valuable research experience in academic and industry settings.
Professional Journey in San Francisco
Ruo Ping Dong's professional journey includes significant experience in the San Francisco Bay Area. He worked at Cruise as a Machine Learning Engineer for four months in 2023 and has been involved with Unity Technologies for several years. His roles in this region highlight his engagement with leading technology companies and his contributions to the field of machine learning.