Summary
Peihao Wang is a PhD student and graduate research assistant in ECE at UT Austin with a decade of hands-on experience in deep learning, computer vision, graph representation learning, and computational photography. He combines strong research credentials—from cryo-microscopy and 3D human reconstruction as an undergrad to work on transformers and neural representations—with practical software development dating back to his teenage role as a primary author of myBase Desktop 7. Peihao has interned at UPenn on graph neural networks and contributed to research labs in China and industry, blurring the line between theoretical insight and applied system design. He enjoys low-level curiosity about math, physics, and computer architectures, which informs both his modeling work and implementation choices. Based in Austin, he brings a research-first mindset that consistently produces reproducible, cross-disciplinary solutions.
10 years of coding experience
7 years of employment as a software developer
Undergraduate, Computer Science, Undergraduate, Computer Science at ShanghaiTech University
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at The University of Texas at Austin
English, Chinese