Po-yu Chen
AIML Lead, Global Markets at Imperial College London
Stony Stratford, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolPo-yu Chen is an AIML lead with a PhD in Computer Science and over a decade of experience building and operationalizing advanced ML/AI solutions for finance, research institutions and industry. He has driven R&D and training at JPMorgan Chase—creating production-ready bandit, RL, representation learning and differentially private generative models—and now leads AIML for Global Markets at Barclays. His work spans applied and theoretical research, from LLM fine-tuning and RL-guided language agents to sustainable-AI frameworks that balance utility, privacy, fairness and emissions. A seasoned project manager and mentor, he also holds concurrent research roles (Honorary Research Fellow at Imperial) and has a track record in deploying sensor/IoT analytics and anomaly detection from earlier academic projects. Notably, he blends cutting-edge research with production standards and internal benchmarking, making him effective at translating SOTA methods into business impact.
10 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree Engineering Science, Bachelor’s Degree Engineering Science at National Cheng Kung UniversityMaster’s Degree Engineering Science, Master’s Degree Engineering Science at National Taiwan UniversityDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Imperial College London
English, Chinese, Japanese
Github Skills (40)
data-connector10
integrate10
temporal9
unstructured9
data-engineer9
pipeline9
api9
cli9
developer-tools8
python8
unstructured-data8
golang8
spark7
llm7
typescript7
Programming languages (3)
Github contributions (5)
bryan107/MFDR_v3
Nov 2015 - Feb 2016
Contributions:13 pushes, 3 branches in 2 months
instill-ai/yolov7
Feb 2023 - Jun 2023
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Contributions:3 pushes, 1 branch in 3 months
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