Hana Lee
Postdoctoral Research Associate
Ames, Iowa, United States
Summary
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Senior🎓
Top SchoolHana Lee is a postdoctoral research associate with eight years of experience applying statistical learning and image processing to forensic shoeprint analysis, specializing in common source identification and alignment. Based at the Center for Statistics and Applications in Forensic Evidence, she develops statistical matching rules in R that help forensic examiners compare and evaluate shoeprint evidence and translates findings through academic publications and conference presentations. Her background includes extensive teaching across undergraduate and graduate statistics courses, blending pedagogy with hands-on lab instruction and curriculum development. Prior work in survey research and sampling gives her a practical grounding in data collection and questionnaire design that informs her methodological rigor. Known for bridging applied forensic problems with rigorous statistical methods, she brings both technical depth and communication skills to interdisciplinary teams.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Iowa State UniversityGraduate student, Statistics, Graduate student, Statistics at Dongguk University
Github Skills (3)
stat7
docker3
hana1
Programming languages (2)
Github contributions (5)
hnlee1428/lab1-Hana-gitname
Jan 2018 - Aug 2018
Contributions:4 PRs, 6 pushes, 1 branch in 7 months
hnlee1428/ShoeprintAnalyzr
Aug 2024 - Feb 2025
Contributions:16 pushes, 1 branch in 6 months
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