Summary
Zining Zhu is a strategic partnerships and business development leader with 11 years of technical and research experience, now blending industry strategy with a deep background in astrophysics and AI. Trained through rigorous graduate research at UCSB and hands-on projects at UW, Zining improved orbit-fitting accuracy substantially and built data pipelines for spectroscopic analysis, bringing strong quantitative modeling and Bayesian methods to real-world problems. Currently based in Beijing and pursuing MS Computer Science at USC, she focuses on explainable AI and NLP while translating scientific modeling techniques into product and partnership opportunities. At Lightwheel she leverages this interdisciplinary expertise to forge collaborations that connect advanced analytics with commercial applications. Notably, her trajectory reflects uncommon fluency across observational astronomy, statistical inference, and applied AI—making her adept at turning complex research into practical, scalable solutions. She is actively seeking part-time and seasonal roles to broaden industry experience and accelerate impact.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern California
Bachelor of Science, Physics and Astronomy, Bachelor of Science, Physics and Astronomy at University of Washington
Master of Arts - MA, Astrophysics, Master of Arts - MA, Astrophysics at UC Santa Barbara