Xuan Cao

Computational Research Scientist

San Francisco Bay Area United States
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Summary

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Senior
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Top School
Xuan Cao is a computational research scientist and PhD candidate in computer science at Brigham Young University, currently based in the San Francisco Bay Area and working on robot proficiency self-assessment at Berkeley Lab. He builds well-calibrated, fault-aware, and explainable ML models that predict autonomous robots’ task performance, combining ResNet-based architectures, Bayesian methods, Markov chains, and one-class anomaly detection. His background uniquely blends deep learning and robotics with earlier PhD and industry leadership in engineering thermophysics and environmental monitoring, where he developed and commercialized REMPI-TOFMS instrumentation and deployed emission-prediction models. With nine years’ experience spanning R&D leadership and postdoctoral automation/ML work, he focuses on robust, deployable solutions that remain resilient to hardware and environmental shifts.
code9 years of coding experience
job8 years of employment as a software developer
bookPhD in Engineering, Engineering Thermophysics, PhD in Engineering, Engineering Thermophysics at Zhejiang University
bookPhD, Computer Science, PhD, Computer Science at Brigham Young University
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Stackoverflow

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Github Skills (22)

player10
ffmpeg9
rotation9
exoplayer9
ijkplayer8
android8
ssl8
concat7
aspectj7
android-gradle-plugin7
gif7
mpeg7
aar6
rtsp6
hook6

Programming languages (3)

JavaCGroovy

Github contributions (5)

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xuancao/VirtualApkProgram

Aug 2018 - Aug 2018

Contributions:28 commits, 25 pushes, 1 branch in 11 days
xuancao/DynamicSkin

Oct 2017 - Dec 2017

Contributions:15 commits, 9 pushes, 1 branch in 2 months
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Xuan Cao - Computational Research Scientist