Summary
Junjie Zhu is an Associate Research Scholar at Princeton University with eight years of experience at the intersection of environmental engineering and data science, specializing in natural language processing and large language models applied to environmental data. He holds a Ph.D. in Environmental Engineering and has progressed from research assistant and educator roles to postdoctoral and current research scholar positions, bringing deep domain knowledge in water resources, wastewater treatment modeling, and hydrological analysis. Junjie combines traditional environmental engineering expertise with modern text mining, machine learning, and deep learning techniques to extract insights from complex environmental datasets. Based in New Jersey, he teaches and mentors while leading research that bridges lab-scale chemodynamics and scalable data-driven modeling. A less obvious strength is his track record of integrating classroom instruction with applied research, enabling translational outcomes that inform both policy and engineering practice.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (B.E.), Environmental Engineering, Bachelor of Engineering (B.E.), Environmental Engineering at Jinan University
Master of Science (M.S.), Environmental Engineering, Master of Science (M.S.), Environmental Engineering at Illinois Institute of Technology
High School, High School at Xuejun High School
English, Chinese, Japanese