Summary
Hang Deng is a Machine Learning Engineer with a Ph.D. in Physics and a decade of experience applying data science and deep learning to biomedical and industrial imaging problems. He has a proven track record of taking projects from prototyping through deployment—building robust data pipelines, GUI tools, and uncertainty-aware models integrated into clinical and imaging workflows. Technically fluent in Python, PyTorch, TensorFlow, SQL, and Spark, he specializes in 3D neuron tracking and segmentation while translating complex analysis for cross-functional teams. His background spans research and industry roles at companies including PhAST, Amgen, and LifeCanvas, and his interdisciplinary roots (physics and interests in geology/modeling) help him spot domain-specific signals others miss.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Sichuan University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Northeastern University