Guan Wang
Principal Data Scientist
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolGuan Wang is a Principal Data Scientist with 13 years of experience building production-grade ML systems across insurance and product companies, currently leading Asia regional advanced analytics and GenAI at Manulife in Singapore. He combines deep NLP and information-extraction expertise—demonstrated by contributions to spaCy’s course and Chinese NER/RE projects—with hands-on MLOps, Azure/Databricks, and DevOps deployment experience. His background spans predictive underwriting, claims automation, federated learning and fraud detection from roles at Munich Re, Swiss Re and Lenovo, bridging research and commercial delivery. Notably, he has extended open-source tooling for Chinese NLP (Jieba tokenizer in Rasa) and maintains full-stack proficiency from data pipelines to model training and evaluation. Trained in physics and computational neuroscience, he brings a quantitative, research-oriented mindset to pragmatic engineering and product impact.
14 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.Sc.) Physics & Computer Science, Bachelor of Science (B.Sc.) Physics & Computer Science at Peking UniversityDoctor of Philosophy - PhD (dropped out) Neuroinformatics, Doctor of Philosophy - PhD (dropped out) Neuroinformatics at Erasmus Mundus Joint Doctoral Programme in Computational Neuroscience (EuroSPIN)Hong Kong University of Science and Technology (HKUST)
English, Chinese, Chinese
Github Skills (27)
named-entity-extraction10
named-entity-recognition10
entity-extraction10
relation-extraction10
python10
scikit10
nlu10
machine-learning10
entities10
j10
tokenizer10
spacy10
rasa10
natural-language-processing10
scikit-learn10
Programming languages (7)
Github contributions (5)
deepwel/Chinese-Annotator
Nov 2017 - Dec 2017
Annotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:62 commits, 81 PRs, 131 pushes in 1 month
Contributions summary:Guan primarily contributed to refactoring the project structure and adding example data, focusing on the integration of an sklearn classifier. They implemented a dummy sklearn classifier using Python. They made changes to the testing and added supporting files for the Rasa NLU. The user also worked on setting up the build and test environment.
nlpchinesetext-corpuscorpusannotator
crownpku/Information-Extraction-Chinese
Aug 2017 - Mar 2020
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
Role in this project:Data Scientist
Data ScientistContributions:63 commits, 13 PRs, 66 pushes in 2 years 8 months
Contributions summary:Guan primarily worked on a Chinese Named Entity Recognition and Relation Extraction project. Their contributions involved implementing rule-based relation extraction using Python, specifically focusing on generating regular expressions for relation matching. The user also worked on loading word embeddings, data preparation, and model training for relation extraction using Bi-GRU and attention mechanism. They also made changes to testing and evaluation procedures.
named-entity-recognitionrelation-extractionnlpchinese-nlpinformation-extraction
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