Yangguang Li
Applied AI ML Lead, Vice President at J.P. Morgan Asset Management
United Kingdom
Summary
👤
Senior🎓
Top SchoolYangguang Li is an Applied AI/ML lead and Vice President at J.P. Morgan Asset Management with 10 years of experience building machine learning solutions that inform investment research and decisions. Trained in Computational Statistics and Machine Learning (UCL) with a BS in Computer Science and Mathematics, he blends rigorous statistical foundations with practical software engineering to move models into production. His background spans content engineering at FactSet and academic research on renewable energy adoption, reflecting a habit of turning data-driven insight into scalable products. Based in the UK, he combines hands-on implementation experience with leadership of cross-functional ML efforts in financial services. Colleagues know him for bridging the gap between research-grade models and robust, deployable systems that directly impact portfolio outcomes.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science and Mathematics, Bachelor of Science - BS Computer Science and Mathematics at The University of ManchesterUniversity College London
Chinese, Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
machine-learning10
deep-learning10
gpu10
python10
numpy9
tensorflow9
neural-network9
tensor8
acceleration8
autograd8
gpu-acceleration8
graph-convolutional-networks7
graph-neural-network7
geometric-deep-learning7
pytorch7
Programming languages (1)
Github contributions (5)
pandorana/pandorana.github.io
Jul 2016 - Aug 2018
Contributions:19 pushes, 1 branch in 2 years
yg-li/MHQA-with-LP
Jun 2019 - Sep 2019
Contributions:24 commits, 23 pushes in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.