Summary
Ziwei Jiang is a doctoral student at Purdue University with nine years of hands-on engineering and research experience spanning computer vision, machine learning, and mechanical/electrical systems. His work in the CausalML lab focuses on causal inference with structural causal models and causal graphs, while previously contributing to satellite image super-resolution, robot simulation and glass detection, and image segmentation projects. He pairs strong software skills (Python, MATLAB, OpenCV) with mechanical and electronics know-how—having built a Hall-sensor levitating system and a mobile robot in progress—which gives him a rare full-stack experimental capability. As a teaching assistant for control systems and an experienced research mentor, he blends pedagogy with reproducible research and practical prototyping. Ziwei is seeking an engineering internship to translate his interdisciplinary research and prototyping experience into industry impact.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision, Machine Learning, Doctor of Philosophy - PhD, Computer Vision, Machine Learning at Purdue University
Bachelor of Science (BS), Mechanical Engineering, GPA 3.65/4.00, Bachelor of Science (BS), Mechanical Engineering, GPA 3.65/4.00 at Southeast Missouri State University
Chinese, English