William Wang
Graduate Research Assistant
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolWilliam 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.
10 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 MichiganJohns Hopkins University
Github Skills (62)
robotics10
robot10
image-segmentation10
segmentation10
robot-simulator10
cad10
autodesk10
image-processing9
image-classification9
simulation9
python9
machine-learning9
image-augmentation9
object-detection9
data-augmentation8
Programming languages (9)
Github contributions (5)
PelvisVR/deepdrr
Mar 2023 - Apr 2024
Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606
Contributions:169 pushes, 14 branches in 1 year
flamingchickens1540/phineas-ferb-2019
Feb 2019 - Nov 2019
Team 1540's robot code for the 2019 FRC season
Contributions:585 commits, 16 PRs, 209 pushes in 9 months
frcseasonroboticsrobot
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