Summary
Haojun Zhao is a PhD biomedical engineering researcher and software-minded data engineer with four years of experience building robust MRI processing pipelines for large-scale neurological studies. He has led development of multimodal MRI co-registration, quantitative susceptibility mapping, and brain and spinal cord metric extraction while supporting clinical trials and a web-based MRI classification platform at UCSF. Now a Graduate Research Assistant at UT Austin’s DMIC Lab, he blends electrical and computer engineering foundations (BS/MS from Ohio State) with practical skills in Python, SQL, and web tooling to translate complex imaging data into clinically useful metrics. Haojun also brings teaching experience across microcontrollers, machine learning, and digital design, which helps him mentor students and communicate technical work to clinicians. Quietly entrepreneurial, he maintains a presence as a research engineer at Hugging Face on GitHub, signaling an interest in open research tooling and ML-enabled workflows.
4 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Biomedical Engineering, Doctor of Philosophy - PhD Biomedical Engineering at The University of Texas at Austin
Bachelor's degree (not complete) Electronic Information Engineering, Bachelor's degree (not complete) Electronic Information Engineering at Kunming University of Science and Technology
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at The Ohio State University
Chinese, English