Anyang Peng is a Beijing-based data scientist with two years' experience applying machine learning and large language models to materials informatics. He combines practical skills in data engineering and model fine-tuning with a focus on translating scientific literature and experimental data into predictive models that accelerate materials discovery. Early in his career but specialized, he often bridges NLP techniques and domain-specific datasets to extract insights from research text and structured measurements. He prioritizes reproducible pipelines and pragmatic solutions that move prototypes toward real-world impact.
2 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, 3.70/4.00, Bachelor of Science (B.S.), Computer Science, 3.70/4.00 at Nanjing University
Doctor of Philosophy (Ph.D.), Computer Science, 3.92/4.00, Doctor of Philosophy (Ph.D.), Computer Science, 3.92/4.00 at University of Florida
Contributions:1 release, 16 reviews, 23 PRs in 1 month
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