Aiden Dillon

Physics Ph.D. Candidate
University of Oregon

Specializing in fractals, computer vision, neurons and electrode design.

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01 About

Currently a fourth year Physics Ph.D. candidate at the University of Oregon.

My area of passion lies in the cross-section of fractals, machine learning, and simulated environments. I explore how fractal geometry can enhance neural interfaces and develop computational methods for analyzing complex biological systems.

My research investigates how fractal resonance in electrode design can improve connectivity with neurons, combining physics principles with cutting-edge computer vision and deep learning techniques.

Core Competencies

Python
Deep Learning
Computer Vision
PyTorch
Image Analysis
Microscopy
Cell Culture
Data Analysis

02 Experience

Graduate Research

University of Oregon
Sep 2022 — Present

Conducting Ph.D. research in physics, specializing in fractals, computer vision, neurons and electrode design. Developing novel approaches to neural interface technology through fractal geometry optimization.

Microscopy Cell Culture Deep Learning PyTorch

Undergraduate Researcher

Cal Poly San Luis Obispo
Jun 2021 — Aug 2021

Designed data collection scheme to maximize efficiency in a fast-paced data-taking environment. Contributed to research initiatives and presented findings through academic posters.

Data Collection Presentations Research

Undergraduate Research

Cal Poly San Luis Obispo
Jun 2020 — Aug 2020

Focused on optimizing Sparse Carbon Nanotube Networks for bio-sensing purposes. Primary investigation method was simulation-based analysis of network configurations.

Carbon Nanotubes Bio-sensing Simulation

Education

University of Oregon

Doctor of Science, Physics

2022 — Present

Cal Poly San Luis Obispo

B.S. Physics, Minor in Mathematics

2018 — 2022

03 Research & Projects

Publication

Evolution of Retinal Neuron Fractality

Research on fractal resonance proposing that neurons exhibit enhanced connectivity when an implant's electrode geometry is matched to the fractal dimension of neural tissue. Published in MDPI.

Fractals Neurons Electrodes MDPI
Open Source

FracStack

A Python package for fractal analysis and box counting with advanced visualization capabilities. Tools for performing boxcounts on images with image processing utilities.

Python Fractal Analysis Open Source
Robotics

Arduino Robot Arm

Arduino/Robotics project featuring a robot arm with MPU 6050 sensor for movement mimicking capabilities. Demonstrates real-time motion tracking and servo control.

Arduino MPU 6050 Robotics

In Progress

In Progress

Fractal Fluency

Studying the fractal fluency of Computer Vision architectures to understand how neural networks process and recognize fractal patterns in visual data.

Fractals Computer Vision Deep Learning
In Progress

NNIS

Neuronal Instance Segmentation model for precise identification and segmentation of individual neurons in microscopy images using advanced deep learning techniques.

Instance Segmentation Neurons Microscopy

04 Contact

I'm always interested in discussing research collaborations, opportunities in machine learning and physics, or just connecting with fellow researchers.

Let's Connect

Eugene, Oregon