William Wang is a PhD student and graduate research assistant at the University of Michigan with 9 years of experience building AI-driven medical imaging, VR/AR, and robotics systems. He develops novel deep learning and simulation methods—recently focusing on 3D Gaussian Splatting to reconstruct dynamic, unsynchronized 2D multi-view imagery with realistic cardiac and respiratory motion. His work spans mixed-reality surgical simulators, real-time fluoroscopy DRR toolkits, teleoperated satellite repair interfaces, and ML pipelines for bioinformatics and AAV capsid prediction. William combines systems-level high-performance graphics and compute with applied clinical validation, often creating synthetic datasets and adversarial-loss analyses to improve robustness and uncertainty handling. Based in Ann Arbor, he blends Johns Hopkins biomedical engineering roots with computational science research to move prototypes toward real-world, safety-critical workflows.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy Computational Science, Doctor of Philosophy Computational Science at University of Michigan
Contributions:585 commits, 16 PRs, 209 pushes in 9 months
frcseasonroboticsrobot
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