Xudong Wang
Senior AI Engineer at Longbeard
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolXudong Wang is a Senior AI Engineer based in Oxford with nine years of experience applying machine learning and reinforcement learning across neuroscience, clinical trials, and motorsport analytics. Trained as a neuroscientist (PhD) with earlier degrees in astrophysics and electrical engineering, he bridges experimental neuroscience, probabilistic modelling and production ML to extract actionable insights from noisy biological and racing datasets. He has led end-to-end projects from neural data acquisition and behavioural task design to deployment-ready forecasting and strategy-optimising models for Formula E and clinical trial endpoints. His work combines Bayesian uncertainty quantification, XGBoost and deep RL to both improve predictive accuracy and support decision-making under uncertainty. Colleagues value him as a mentor who translates complex quantitative results for non-technical stakeholders and builds analysis pipelines that become standard practice. Less obvious: he routinely moves between wet-lab experiments and large-scale ML systems, giving him rare fluency in both data generation and algorithmic solution design.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Institute of Neuroscience, Chinese Academy of SciencesMaster's degree, Astrophysics, Master's degree, Astrophysics at Peking UniversityBachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Beijing Institute of Technology
Github Skills (2)
tcp2
cpp1
Programming languages (1)
Github contributions (5)
wTuo/thread_pool
Sep 2017 - Jun 2018
Contributions:12 commits, 9 pushes, 1 branch in 9 months
wTuo/smart_pointer
Jun 2018 - Mar 2019
Contributions:2 pushes, 1 branch in 8 months
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