Jiaxu Chen
Director Of Product & Product Owner - Monitoring at SiteIQ
Greater Vancouver Metropolitan Area Canada
Summary
👤
Senior🎓
Top SchoolJiaxu Chen is a product and data leader with nine years of experience blending applied research and product ownership across monitoring and energy systems. Currently Director of Product and Product Owner for Monitoring at SiteIQ, he previously spent several years as a data scientist and software engineer at Generac, turning ML research into production analytics for power systems. He holds advanced degrees from Georgia Tech, University of Pennsylvania and UBC, and brings a rare biomedical-engineering background that informs his rigorous experimental approach to product design. An active researcher (associate professor on GitHub) with interests in Bayesian optimization, graph generation and network dynamics, he bridges academic methods and pragmatic delivery to build robust, scalable monitoring solutions.
9 years of coding experience
8 years of employment as a software developer
Diploma, Data Science, Diploma, Data Science at BrainStationBachelor of Engineering with Distinction, Medical Instrumentation Engineering (Biomedical Engineering), Bachelor of Engineering with Distinction, Medical Instrumentation Engineering (Biomedical Engineering) at University of Shanghai for Science and TechnologyMaster’s Degree, Computer and Information Technology, Master’s Degree, Computer and Information Technology at University of PennsylvaniaMaster of Science, Computer Science, Master of Science, Computer Science at Georgia Institute of TechnologyMaster of Applied Science, Biomedical Engineering, Master of Applied Science, Biomedical Engineering at The University of British Columbia
English, Chinese
Github Skills (16)
bayesian6
optimization5
machine-learning4
deep-learning4
pytorch4
stochastic3
neural-architecture-search3
nas3
tensorflow3
toolbox2
automl2
tvm1
compiler1
hyperparameter-tuning1
plaidml1
Programming languages (2)
Github contributions (5)
csjtx1021/csjtx1021.github.io
May 2019 - Feb 2025
Contributions:157 pushes, 1 branch in 5 years 10 months
csjtx1021/DGBO
Jun 2019 - Oct 2020
This code is implemented according to paper "Deep Bayesian Optimization on Attributed graphs". (Python2/TensorFlow)
Contributions:11 commits, 2 PRs, 10 pushes in 1 year 4 months
deep-learningoptimizationmachine-learninggraphstensorflow
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