Haizhong Zheng
About Haizhong Zheng
Haizhong Zheng is a Research Intern currently working at Lawrence Livermore National Laboratory. He has a strong academic background in Computer Science, holding a PhD from the University of Michigan and previous experience as an intern at Amazon Web Services.
Work at Lawrence Livermore National Laboratory
Haizhong Zheng currently serves as a Research Intern at Lawrence Livermore National Laboratory, a position he has held since 2023. In this role, he engages in research activities that contribute to the laboratory's mission of advancing scientific knowledge and technology. His work involves collaboration with other researchers and the application of his academic background in computer science.
Experience at Amazon Web Services
Haizhong Zheng worked as an Applied Scientist Intern at Amazon Web Services (AWS) for three months in 2021. This internship took place in Seattle, Washington, where he applied his skills in data analysis and machine learning. His experience at AWS provided him with insights into cloud computing and large-scale data processing.
Graduate Research Assistant Roles at University of Michigan
Zheng held the position of Graduate Student Research Assistant at the University of Michigan from 2018 to 2021 and again in 2022 for a total of approximately four years. During this time, he contributed to various research projects in computer science and engineering, collaborating with faculty and peers to advance knowledge in the field.
Education and Academic Background
Haizhong Zheng earned a Bachelor’s degree in Computer Science from Shanghai Jiao Tong University, completing his studies from 2011 to 2015. He continued at the same institution to obtain a Master of Science in Computer Science from 2015 to 2018. Subsequently, he pursued a Doctor of Philosophy in Computer Science and Engineering at the University of Michigan from 2018 to 2023, further enhancing his expertise in the field.
Teaching Experience at University of Michigan
In addition to his research roles, Zheng served as a Graduate Student Instructor at the University of Michigan from 2021 to 2022 and as a Lead Instructor in 2023 for three months. In these positions, he was responsible for teaching computer science courses, guiding students in their learning, and facilitating discussions to enhance their understanding of the subject matter.