Air Force Research Laboratory
Machine Learning Research Intern
Explainable (XAI) Hierarichal Temporal Memory (HTM) models for anomaly detection and forecasting within Satellite systems
Applied Mathematics Student & ML Researcher
Hi! I'm Aaron, a Korean-American from Cypress, Texas. Currently, I am a Junior at Texas A&M University, studying Applied Mathematics.
I have a strong interest in computational neuroscience and bio/brain-inspired computing, areas that explore how we can use principles from the brain to design smarter, more adaptive technologies.
My journey into this field is personal. I was diagnosed with periventricular leukomalacia (PVL) as a baby, which sparked a lasting curiosity about the brain and its complexities. That early experience continues to inspire my passion for understanding neural systems and building brain-like models through math and computation.
Jun 2024 - Present
Explainable (XAI) Hierarichal Temporal Memory (HTM) models for anomaly detection and forecasting within Satellite systems
Sep 2023 - Present
Biologically motivated Convolutional Neural Networks inspired by the V1 Cortex
Aug 2023 - May 2024
DoD tool enhancement
Jun 2023 - Aug 2023
NLP-powered tool for analyzing temporal academic trends
Comparison of Pixel Averaging and U-Nets for frame interpolation
CNN Model for Automated Neuron Counting
© 2025 Aaron Kim