Emily Alsentzer

Assistant Professor at Stanford University

Palo Alto, California, United States
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Summary

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Senior
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Emily Alsentzer is an Assistant Professor of Biomedical Data Science at Stanford who bridges machine learning, natural language processing, and clinical practice to make healthcare more equitable and actionable. With a decade of experience spanning a PhD from MIT/HST, postdoctoral work deploying ML at Mass General Brigham, and industry internships at Microsoft and Verily, she focuses on trustworthy models that perform well with limited labeled data and integrate heterogeneous clinical signals like EHRs and genomics. Her research emphasizes embedding biomedical knowledge from text and knowledge graphs into models so predictions can be both accurate and interpretable for clinicians. She has practical deployment experience in hospital systems and a track record of translating research into clinical workflows. Based in Palo Alto, she combines rigorous academic training with hands-on implementation, and her background includes leadership in student publishing and cross-disciplinary epidemiology projects that reveal a long-standing commitment to applied health impact.
code10 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD Health Science and Techonology - Medical Engineering and Medical Physics, Doctor of Philosophy - PhD Health Science and Techonology - Medical Engineering and Medical Physics at Massachusetts Institute of Technology
bookValedictorian Distinguished Scholars Diploma, Valedictorian Distinguished Scholars Diploma at Hume-Fogg Academic High School
bookSchool for Science and Math at Vanderbilt
bookMaster of Science (M.S.) Biomedical informatics, Master of Science (M.S.) Biomedical informatics at Stanford University
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Github Skills (75)

transformers10
language-model10
python10
deep-learning10
transformer10
nlp10
jax10
bert-embeddings10
sentence-embeddings10
tensorflow10
natural-language-processing10
pytorch10
machine-learning10
bert10
speech-recognition10

Programming languages (6)

TeXJavaScriptPHPHTMLJupyter NotebookPython

Github contributions (5)

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📝 Easily create a beautiful website using Academic, Hugo, and Netlify
Contributions:2 PRs, 92 pushes, 1 branch in 4 years 9 months
hugojamstacknetlifyhugo-themestatic-site-generator
Contributions:1 release, 21 commits, 15 pushes in 1 month
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Emily Alsentzer - Assistant Professor at Stanford University