Jianou Jiang
PHD Student at Oxford Thermofluids Institute
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJianou Jiang is a DPhil candidate in Engineering Science at the University of Oxford with eight years of hands-on experience applying physics-informed machine learning to thermal-fluid problems. She combines strong CFD and numerical-methods expertise (ANSYS Fluent, OpenFOAM, MATLAB/Simulink) with reinforcement-learning approaches for reactor and control-system optimization, having driven measurable thermal improvements in industrial settings. Her background spans academia and industry—from predictive decision-modeling at Oxford and BITMAIN thermal engineering to founding a funded STEM social platform—demonstrating both technical depth and product-building instincts. Fluent in large-scale simulation-driven data acquisition, she excels at extracting robust models from limited data and scaling them to real-world energy, manufacturing, and environmental applications. Open to roles requiring sponsorship from late 2025, she prioritizes rapid career progression within major state-owned or research-driven enterprises, bringing a Beijing-rooted network and pragmatic focus on impact over compensation.
8 years of coding experience
1 year of employment as a software developer
Undergraduate, Physics/Geophysics, Undergraduate, Physics/Geophysics at Imperial College LondonDoctor of Philosophy - PhD, Engineering Science, Doctor of Philosophy - PhD, Engineering Science at University of OxfordMaster's Degree, Scientific Computing, Master's Degree, Scientific Computing at University of CambridgeProject Management, 78%, Project Management, 78% at Imperial Business School高中学历, 高中学历 at 中国人民大学附属中学（人大附中）
Chinese, English
Github Skills (4)
density-estimation2
fluid2
optical-flow2
deep-learning1
Programming languages (2)
Github contributions (5)
JianouJiang/thermalNet
May 2022 - Jul 2022
Contributions:170 pushes, 1 branch in 2 months
JianouJiang/multiagent-particle-envs
Jun 2023 - Jul 2023
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Contributions:6 pushes in 1 month
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