Evan Wu
Research Fellow at Shenzhen Urban Transport Planning Center
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolEvan Wu is a research fellow and applied operations researcher with nine years’ experience at the intersection of demand-responsive mobility and power system economics, combining PhD-level modelling with hands-on product and algorithm design. He has led an eight-person team building Mobility-as-a-Service solutions in Shenzhen, improving on-demand bus order-pairing efficiency by 41% and winning national recognition for tourism-focused data science work. His Imperial College PhD produced incentive-based market designs and optimisation-embedded simulations that reduce electric bus operation and charging costs while easing distribution network congestion. Technically fluent in Python, large-scale GTFS/IC-card data processing, NLP solvers and heuristic/nonconvex algorithms, he routinely deploys multi-processed cloud workflows for computationally intensive problems. Outgoing and team-oriented, he pairs systematic, out-of-the-box thinking with a practical drive to translate research into deployable, green multi-modal systems. Based in London, he is especially focused on data-driven operational research that guides strategic and tactical transport and energy decisions.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Cardiff University / Prifysgol CaerdyddDoctor of Philosophy - PhD, Interactive Operation of Electric Vehicle and Power System, Doctor of Philosophy - PhD, Interactive Operation of Electric Vehicle and Power System at Imperial College London
English, Chinese
Github Skills (31)
artificial-intelligence10
imagenet10
tensorlayer10
reinforcement-learning10
dqn10
google10
object-detection10
deep-reinforcement-learning10
chatbot10
style-transfer9
super-resolution9
python9
normalization9
tensorflow9
deep-learning9
Programming languages (4)
Github contributions (5)
tensorlayer/adaptive-style-transfer
Aug 2018 - Sep 2018
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Contributions:10 commits, 9 pushes, 1 branch in 15 days
style-transferadaptivenormalizationarbitraryinstance-normalization
JunbinWang/Tensorflow-Style-Transfer-with-Adain
May 2018 - Jun 2018
Contributions:22 commits, 21 pushes, 1 branch in 26 days
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