Summary
Xiang J is a postdoctoral researcher with a Ph.D. in Physics and an M.S. in Robotics, bringing nine years of interdisciplinary experience at the intersection of biological physics, computational science, and advanced microscopy. He designs and implements end-to-end solutions—from nonlinear optical hardware and multiday automated 3D imaging systems to scalable image-processing pipelines and parallelized computational models. His expertise spans machine learning, computer vision, PDEs, dynamical systems, and Monte Carlo methods, applied to large-scale, multimodal microscopy and connectomics data. Skilled at leading multi-institutional projects, he has a track record of securing funding and translating complex experiments into reproducible analysis workflows. Notably, Xiang combines hands-on optical fabrication with high-performance algorithm development, a blend that lets him both build novel instruments and extract mechanistic insight from high-dimensional biological data.
9 years of coding experience
8 years of employment as a software developer
University of California San Diego
Doctor of Philosophy - PhD, Physics, 4.0/4.0, Doctor of Philosophy - PhD, Physics, 4.0/4.0 at University of California, San Diego
Bachelor of Science (BS), Physics, 3.9/4.0, Bachelor of Science (BS), Physics, 3.9/4.0 at Sun Yat-sen University