Summary
Yu-jung Ko is a research scientist with 12 years of experience at the intersection of machine learning and human-computer interaction, currently conducting applied research at Meta. She holds a PhD in Computer Science from Stony Brook University and has a strong track record modeling target acquisition and accessible text entry for people with vision impairment and older adults. Her work blends Gaussian process–based Bayesian optimization, novel selection models in 1D/2D, and practical accessibility decoders, improving typing speed and error rates for real users. Yu-jung’s background spans academia and industry, from foundational graph-drawing research to ML internships at Facebook, reflecting both theoretical rigor and product-minded experimentation. Notably, she leverages BoTorch/PyTorch toolchains to tune behavioral models, a detail that underscores her ability to translate advanced probabilistic methods into user-centered solutions.
12 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at National Taiwan University
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at National Tsing Hua University
Doctor of Philosophy - PhD, Computer Science, 3.89/4.00, Doctor of Philosophy - PhD, Computer Science, 3.89/4.00 at Stony Brook University
English, Chinese