Yifan 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
4 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of Delaware
Master Signal and Information Processing, Master Signal and Information Processing at Peking University
Bachelor Computer Science, Bachelor Computer Science at Beijing University of Technology
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