Summary
Siyao Peng is a postdoctoral researcher at LMU Munich with 11 years of experience at the intersection of computational linguistics and applied NLP. She holds a PhD in Computational Linguistics from Georgetown and combines deep academic training with industry experience at Tencent, Baidu, and Pearson, shipping production-ready models and contributing to PaddleNLP. Her work spans text summarization, quality estimation, entity recognition, and few-shot learning, including a top-ranked result in the WMT 2020 sentence-level quality estimation task. Siyao is skilled at translating research into practical tooling and datasets, evidenced by migrating a pointer-generator summarization model into PaddlePaddle and augmenting training data to boost real-world performance. Based in Munich and entering an employment-free period from April 2026, she blends multilingual linguistics background with strong applied math instincts from a UC Berkeley AB. Colleagues describe her as a researcher who consistently bridges rigorous evaluation with production standards, often uncovering simple data-augmentation fixes that yield outsized gains.
11 years of coding experience
Bachelor of Arts (B.A.), Applied Mathematics; French; Linguistics, Bachelor of Arts (B.A.), Applied Mathematics; French; Linguistics at University of California, Berkeley
Middle & High School, Academic - science, Middle & High School, Academic - science at The High School Attached to Hunan Normal University
Ph.D. student, Linguistics, Ph.D. student, Linguistics at Stony Brook University
Doctor of Philosophy - PhD, Computational Linguistics, Doctor of Philosophy - PhD, Computational Linguistics at Georgetown University
Master’s Degree, Linguistics, Master’s Degree, Linguistics at Leiden University
French, Chinese, English, German