Alec Chapman is a data scientist and incoming PhD student in Biostatistics at the University of Utah with nine years of experience applying NLP and machine learning to healthcare and population health research. At the University of Utah he builds clinical NLP and ML systems for VA-focused projects—ranging from COVID-19 surveillance to homelessness and infectious disease misdiagnosis—translating messy clinical data into actionable insights. He holds a Master’s in Biomedical Informatics and has commercial experience as an informatics engineer and consultant, pairing production-minded software engineering with rigorous research. Alec also teaches health informatics, and his earlier background in music performance hints at strong communication and instructional skills that help him bridge technical and clinical teams.
9 years of coding experience
3 years of employment as a software developer
The University of Utah
Bachelor of Music, Music Performance, Bachelor of Music, Music Performance at Duquesne University
A Python implementation of the ConText algorithm for clinical text concept assertion using the spaCy framework
Contributions:117 commits, 22 PRs, 26 pushes in 10 months
nlppythonclinicalpython-implementationspacy
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