Bin Cheng
About Bin Cheng
Bin Cheng is a Principal Machine Learning Engineer currently at Blue River Technology, where he has worked since 2023. He has a diverse background in machine learning and vehicular networks, with previous roles at Toyota InfoTechnology Center and Blue River Technology, along with academic credentials including a Ph.D. in Computer Engineering from Rutgers University.
Current Role as Principal Machine Learning Engineer
Bin Cheng currently serves as a Principal Machine Learning Engineer at Blue River Technology, a position he has held since 2023. He is based in Sunnyvale, California. In this role, he applies advanced machine learning techniques to drive innovation and efficiency in agricultural technology.
Previous Experience at Blue River Technology
Prior to his current role, Bin Cheng worked at Blue River Technology as a Senior Machine Learning Engineer from 2022 to 2023 and as a Machine Learning Engineer from 2021 to 2022. His tenure at the company involved developing and implementing machine learning models to enhance agricultural practices.
Experience at Toyota InfoTechnology Center
Bin Cheng was employed as a Research Engineer at Toyota InfoTechnology Center, U.S.A., INC. from 2019 to 2021. During this time in Mountain View, California, he focused on projects related to vehicular networks, contributing to advancements in transportation systems.
Educational Background in Data Science and Engineering
Bin Cheng studied Data Science at The Data Incubator, where he achieved Fellow status in 2018. He also holds a Master’s Degree from Shanghai Jiao Tong University, obtained from 2009 to 2012, and a Doctor of Philosophy (Ph.D.) in Computer Engineering from Rutgers University, completed from 2012 to 2018.
Research and Development in Vehicular Networks
Throughout his career, Bin Cheng has developed simulation models and software for large-scale vehicular networks. His work demonstrates a strong understanding of machine learning applications in transportation systems, showcasing his expertise in both machine learning and network simulations.