Summary
Julia is a Sr. AI/ML Specialist Solutions Architect at AWS with a PhD in electronic engineering and a decade of hands-on experience developing inversion algorithms and multi-GPU optimizations for 3D anisotropic wave and imaging problems. She blends deep research expertise—spanning ultra-low frequency wave modelling, hybrid acoustic-electromagnetic impedance imaging, MRI multiphase flow measurement, and compressed sensing—with practical delivery of scalable ML solutions for enterprise analytics. Known for translating advanced algorithms into production-ready, parallelized implementations, she has a track record of winning competitive national research awards and transferring new technologies to industry. Based in Houston, she leverages both academic rigour and cloud-native best practices to help teams deploy performant, data-driven systems at scale.
5 years of coding experience
MSc., MSc. at University of Houston
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Nottingham
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Tianjin University
Data Science Fellow, Data Science Fellow at Springboard
Chinese, English