Shouyong Jiang
Lecturer In AI At Aberdeen Visiting Lecturer At Lincoln at University of Aberdeen
Aberdeen City, Scotland, United Kingdom
Summary
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Senior🎓
Top SchoolShouyong Jiang is a computer scientist and lecturer in AI with eight years' experience bridging academic research and applied data science at the University of Aberdeen and as a visiting lecturer at Lincoln. He specialises in nature-inspired optimisation, machine learning, and data-driven solutions across healthcare, biotechnology, smart energy and horticulture, translating theoretical methods into domain-specific impact. His background includes postdoctoral research at Newcastle and part-time lecturing at De Montfort, underscoring a strong track record in teaching and interdisciplinary collaboration. Trained in mathematics and computer science at Northeastern University (CN) and De Montfort, he combines rigorous quantitative foundations with practical experimentation. Colleagues describe him as adept at turning complex biological and energy-system problems into optimisable models, often exploring unconventional nature-inspired approaches not commonly found in mainstream ML.
8 years of coding experience
3 years of employment as a software developer
MSc & BSc, Mathematics and Computer Science, MSc & BSc, Mathematics and Computer Science at Northeastern University (CN)De Montfort University
Github Skills (5)
github-pages5
simulation3
solver3
coin-or1
optimization1
Programming languages (3)
Github contributions (5)
chang88ye/homepage
Nov 2021 - Feb 2023
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:140 commits, 181 pushes, 6 branches in 1 year 3 months
chang88ye/NIHBA
Oct 2019 - Jun 2021
Contributions:40 commits, 39 pushes, 5 branches in 1 year 8 months
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