Yifan Peng
Machine Learning Researcher at ncbi-nlp
New York, New York, United States
Summary
👤
SeniorYifan Peng is an Associate Professor at Weill Cornell Medicine with 13 years of experience at the intersection of biomedical text mining and medical image analysis. Trained with a PhD in Computer Science from the University of Delaware and earlier degrees from Peking University and Beijing University of Technology, she combines deep academic rigor with practical research stints at NCBI and industry internships including Google. Her work blends BioNLP and machine learning to extract actionable knowledge from clinical texts and imaging, supporting translational research and healthcare applications. Having moved from research fellow to faculty leader, she brings a track record of bridging national research labs and medical school environments, often translating foundational algorithms into tools used by biomedical researchers. Not obvious from titles alone, she has a persistent pattern of short-term industry collaborations during her PhD that accelerated her focus on real-world biomedical data challenges.
13 years of coding experience
Stackoverflow
97reputation
834kreached
2answers
0questions
Github Skills (108)
transformers10
language-model10
reader10
python10
deep-learning10
quantile10
gemma10
genomics10
glm10
ct-images10
multimodal10
audio10
transformer10
nlp10
pubmed10
Programming languages (7)
Github contributions (5)
bionlplab/drugprot_biocreative_vii2021
Jul 2021 - Apr 2022
CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models
Contributions:15 commits, 2 pushes in 9 months
berttext-miningdrug-protein-interactionsensemble-learningrelation-extraction
ncbi-nlp/NegBio
Jun 2021 - Apr 2022
:newspaper: High-performance tool for negation and uncertainty detection in radiology reports
Contributions:1 release, 4 commits, 34 PRs in 9 months
nlpreportsradiology-reportsquantilenewspaper
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