Summary
Jihui Jin is a PhD-trained machine learning researcher and senior data science and visualization researcher at Dolby with 13 years of experience bridging signal processing, computer vision, and applied ML. He brings deep expertise in Python, C++, Java and Matlab, and has a track record of embedding physics knowledge into neural architectures—work that led to NeurIPS and JASA publications on acoustic tomography and memory-efficient inverse problem solvers. His projects span 3D sensing and displays, AR, and sensor-based perception, including practical pipelines for time-of-flight and stereo systems with near-sensor accuracy. Known for turning high-fidelity ocean acoustic simulations into deployable inversion methods and achieving sub-2% localization error on real-world data, he combines rigorous research with production-minded engineering. Based in Atlanta, he is completing his PhD in Machine Learning (May 2024) and is actively seeking full-time roles that leverage physics-aware deep learning for sensing and spatial computing.
13 years of coding experience
9 years of employment as a software developer
Bachelor's degree Electrical Engineering Computer Science, Bachelor's degree Electrical Engineering Computer Science at University of California, Berkeley
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Georgia Institute of Technology