Ren Pang is an Applied Scientist at AWS with eight years of experience building research-driven AI systems, currently focused on developing guardrails for AWS Bedrock. He holds dual PhDs in Information Sciences & Technologies and Computer Science and began his academic journey with a BS in Mathematics from Nankai University, reflecting strong theoretical foundations paired with practical engineering. Based in New Jersey, Ren combines production-minded machine learning research with cloud-native deployment expertise, bringing rigorous evaluation and safety-first design to large-scale generative AI services. His public portfolio and personal website signal an active interest in transparency and reproducible work, and his move into Bedrock guardrails underscores a pragmatic focus on making advanced models safer and more reliable in enterprise contexts.
8 years of coding experience
Doctor of Philosophy - PhD, Information Sciences and Technologies, Doctor of Philosophy - PhD, Information Sciences and Technologies at 美国宾夕法尼亚州立大学
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at 南开大学
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Lehigh University
TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
Contributions:33 releases, 1280 commits, 96 PRs in 2 years 8 months
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