Lover of underlying principles, elegant solutions, and making and debating things (especially relating to the mind).
Currently a Columbia University engineering student and undergraduate researcher (BioNet Lab). Host of the Uncaved Podcast and director of the Logic Made Accessible video curriculum.
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Software Engineering
Java, Python, React, and more. 4+ years of school and industry experience
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Data Science + Deep Learning
PyTorch, Numpy, Pandas and PhD-level machine learning coursework
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CAD + Robotics
Fusion 360; mechanical and electronic fabrication
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Computational Neuroscience
BioNet Research Lab; NeurotechX BCI Club
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Video Production
Directing, cinematography, editing, and animation for both feature-length and short-form content
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Public Speaking / Communications
National awards in policy debate and professional journalism experience
Sample Works
Please email me for resume and code samples at ashley.h.kim@columbia.edu
Simulated Evolved Soft Robots
Using DNNs to Predict Mouse Neuronal Connectivity based on Gene Expression

Enhanced Neuron Visualization Tools using NAVis

Polygon-Drawing and Location Tools in Mapbox

ReactJS Forms to Upload Media and Edit Internal Data

Dragonbot

Logic Made Accessible | Episode 1: Why Study Logic?

Bump Attractor Network Neuronal Firing Simulation

Learning Rates on Accuracy & Loss in Multilayer Perceptron Neural Networks

Columbia University- Relevant Coursework

Instructables DIY Projects (+ Contest Winners!)
