2025 — PRESENT
Applied Scientist · Amazon AGI
Frontier-model post-training across reasoning environments, verifiers, curriculum, rollout systems, reinforcement learning, and evaluation.
Yuhua (Bill) Chen
I turn capability gaps into trainable, verifiable systems.
CURRENT FOCUS
I am an Applied Scientist at Amazon AGI, working on frontier-model post-training. My work spans reasoning environments, verifiers, curriculum, rollout systems, reinforcement learning, and evaluation.
EXPERIENCE
2021 — APR 2025
ML Engineer → Staff ML Engineer & AI Research Lead · Q.bio
At Q.bio, I deployed 3D AI systems inside an autonomous MRI scanner, including components with sub-second inference for real-time localization and imaging decisions.
2016 — 2021
Ph.D. Research · UCLA
3D medical imaging, MRI reconstruction, super-resolution, and segmentation.
RESEARCH
My earlier work in 3D MRI reconstruction, super-resolution, and segmentation has been cited more than 1,000 times.
Earlier research includes peer-reviewed work at MICCAI, ISBI, Medical Physics, and WACV.
PATENT APPLICATIONS
I am a co-inventor on patent applications covering deep-learning MRI reconstruction and calcium-free CT angiography.
EDUCATION
Ph.D. in Bioengineering from UCLA; M.S. degrees in Computer & Information Technology and Bioengineering from the University of Pennsylvania.