Carolyn Cui is a recent UC Merced Computer Science & Engineering graduate and current undergraduate research assistant specializing in AI/ML, with a focus on continual learning, foundation models, and ethical applications. At UC Merced’s PADSYS Lab she contributes to machine learning-driven digital twins for scientific and agricultural simulations, blending research rigor with practical impact. Her portfolio includes rapid 36–48 hour mini-research projects—predicting geomagnetic storm intensity and estimating flood crop damages—that highlight an ability to prototype useful models under time pressure. Based in San Diego, she pairs hands-on lab experience with community involvement as a campus GDG organizer and a former STEM tutor, and she enjoys connecting ML to regional challenges in the Central Valley.
8 years of coding experience
Canyon Crest Academy
Bachelor of Science - BS, Computer Science & Engineering, Bachelor of Science - BS, Computer Science & Engineering at University of California, Merced
Contributions:8 pushes, 1 branch in 2 years 3 months
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