Summary
Meredith Young-ng is a PhD candidate in Computer Science at UC Davis with eight years of interdisciplinary research and development experience spanning HCI, AR/VR, wearable biosensors, and simulation. She blends hands-on hardware prototyping—designing wearables like the Sweatcessory biosensor and Portalware hand-mounted displays—with strong software skills in real-time visualization, TensorFlow-based models, and web Bluetooth applications. Her roles at national labs and research labs (Lawrence Livermore, UC Davis, Brown, Cornell) show a track record of shipping prototypes, leading small teams, and publishing at venues such as CHI and ISWC. Comfortable teaching and mentoring, she has extensive TA experience across algorithms, graphics, and HCI courses and has led course conversions from MATLAB to Python. Based in Cupertino and seeking Summer 2026 internships, she brings a unique blend of creative physical-design intuition and rigorous ML/graphics engineering. An under-the-radar strength is her ability to bridge lab-grade sensor hardware with polished web and visualization tooling for real-time user studies.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Davis
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Brown University
Bachelor of Science - BS, Computer Science • Cum Laude, Bachelor of Science - BS, Computer Science • Cum Laude at Cornell University
High School, High School at Monta Vista High School