Nathan Kolbow
Graduate Teaching Assistant
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolNathan Kolbow is a Biostatistics Ph.D. student and Graduate Teaching Assistant at UW–Madison with eight years of experience applying machine learning and software skills to academic research. Proficient in Python, R, and C, he has built models from feedforward and convolutional neural networks to ensemble methods for protein structure prediction and developed reproducible tools like an R package for Twitter follower data. His background spans system administration for genomic pipelines, data analysis in industry, and hands-on teaching and coaching for underrepresented students. Focused on theoretical machine learning and machine vision, he combines rigorous statistical training with practical engineering to move research into usable tools. Outside the lab he pursues phylogenetics and rock climbing, reflecting a mix of analytical curiosity and resilience that informs his collaborative research style.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Wisconsin-Madison
Github Skills (18)
julia9
phylogenetics8
evolution8
simulate8
simulation7
robocup7
statistics6
redis4
inference4
twitter3
open-source3
twitter-api3
graph2
bayesian2
neo4j2
Programming languages (4)
Github contributions (5)
solislemuslab/simulation-suite
Jun 2022 - Jul 2022
Myriad of scripts to simulate data in phylogenetics
Contributions:1 review, 68 commits, 6 PRs in 20 days
phylogeneticsmyriadsimulationrobocupsimulate
NathanKolbow/InPhyNet.jl
Jul 2024 - Jul 2026
A Julia package for constructing large phylogenetic networks efficiently.
Contributions:1 release, 2 PRs, 99 pushes in 1 year 11 months
julia
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