Yankai Li
Data Scientist
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolYankai Li is a data scientist and computer vision specialist with over a decade of hands-on experience spanning research, industry internships, and applied ML engineering. He holds a math and CS degree from UIUC and a master's in CS from Columbia, where he contributed to the DVMM lab building the M2E2 video dataset and developed pseudo-labeling pipelines and transfer-learning methods to scale video annotations. His work blends deep learning research (object detection, video scene graphs) with practical deployment—improving fashion-detection models for ICCV competition and integrating disease-prediction models into a medical platform. Comfortable across Python, PyTorch/TensorFlow, and production code, he combines strong academic rigor (3.9/3.76 GPAs) with demonstrated impact in both startups and research labs. Notably, he has experience enriching datasets with relational video-frame labels, a less common capability that enables causal and scene-graph modeling beyond standard detection tasks.
12 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, 3.76/4.00, Master's degree, Computer Science, 3.76/4.00 at Columbia University in the City of New YorkUniversity of Illinois Urbana-Champaign
English, Chinese
Github Skills (54)
machine-translation10
named-entity-recognition10
relation-extraction10
translation10
python10
data-science10
in-progress10
graph10
machine-learning10
extraction10
comprehension10
language-processing10
ml10
datasets10
deep-learning10
Programming languages (5)
Github contributions (5)
thunlp/NRE
Jun 2016 - Jul 2020
Contributions:23 commits, 23 pushes, 1 branch in 4 years 2 months
pytorchextractiondeep-learningrelation-extractionrelation
linyankai/linyankai.github.io
Aug 2019 - Oct 2024
Contributions:1 PR, 54 pushes, 3 branches in 5 years 3 months
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