Ilse Dippenaar
Doctoral Student at University of Washington
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolIlse Dippenaar is a computational neuroscientist and software-savvy researcher with nine years of experience spanning applied mathematics, machine learning, data analysis, and brain-focused biology. Currently a PhD student at the University of Washington studying birdsong learning in a biophysics lab, she combines rigorous experimental neuroscience with principled computational modeling. Her prior roles at the Institute for Health Metrics and Evaluation and multiple research labs demonstrate fluency in turning complex data into actionable insight and production-ready analyses. She enjoys self-directed research and collaborative engineering work alike, and has a strong teaching background in systems, linear algebra, and statistics. Notably, early research on algorithmic visualization of Wikipedia helped prototype interactive map metaphors that were published at IUI. Based in Seattle, she brings a rare blend of domain expertise and hands-on software development to interdisciplinary problems.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at University of WashingtonBachelor of Arts, Computer Science, GPA: 3.92, Bachelor of Arts, Computer Science, GPA: 3.92 at Macalester College
Stackoverflow
1reputation
0reached
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Github Skills (7)
electrophysiology4
python3
data-analysis2
type-checking2
visualization2
decorators1
pandas-dataframe1
Programming languages (1)
Github contributions (5)
ilsedippenaar/fast-mingle
Aug 2016 - Feb 2018
Contributions:18 commits, 2 pushes, 1 branch in 1 year 6 months
ilsedippenaar/signpost
Jun 2020 - Feb 2021
Simple decorators and functions for type checking pandas DataFrames at runtime
Contributions:4 PRs, 15 pushes, 4 branches in 8 months
decoratorspandas-dataframetype-checking
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