nathan@portfolio:~$
Nathan Hogg

$ whoami

nathan@cs-student:~/research-enthusiast

# Passionate about applying machine learning and software engineering to solve real-world problems in medical physics, bioinformatics, and beyond.

cat about.txt

$ education.info

Loyola University Chicago

Bachelor of Science in Computer Science

Minor in Statistics

Aug. 2023 - May 2027

$ current_focus.sh

Computer Vision & Robot Learning Researcher

Imitation Learning & 6D Pose Estimation

Bioinformatics & Data Analysis

Full-Stack Development

# I'm a computer science student with a passion for applying cutting-edge technology to solve meaningful problems. My work spans medical physics research, where I develop neural networks for medical imaging, to bioinformatics, where I create tools for mass spectrometry data analysis. I also enjoy building full-stack applications and sharing my knowledge through my blog, Mechanical Inclination.

ls -la projects/

Robot Learning Research
Jan. 2026 – Present
Investigating imitation learning pipelines to enable robotic manipulators to mimic human dexterity from video input.

# Key Highlights:

  • Investigating imitation learning pipelines for robotic manipulators
  • Integrating foundation models (FoundationPose, SAM3) for robust 6D pose estimation and object segmentation
  • Developing motion retargeting algorithms to map human hand trajectories onto robot hardware constraints

# Technologies:

Python
FoundationPose
SAM3
6D Pose Estimation
Motion Retargeting
MoodMate
May 2025 – June 2025
Full-stack mental wellness application offering AI-driven insights and suggestions based on user journal entries, addressing the challenge of inaccessible therapy.

# Key Highlights:

  • Designed backend using FastAPI and MLflow
  • Integrated BERT text classification model for emotion extraction
  • Leveraged Google's Gemini API for personalized insights

# Technologies:

Python
FastAPI
MLflow
PyTorch
BERT
Gemini API
PlantPals
April 2025
Interactive AI chatbot that educates children about plant care by role-playing as a Tamagotchi-like plant companion. Built during WildHacks hackathon at Northwestern University.

# Key Highlights:

  • Lead Back-End Developer at 24-hour hackathon
  • Engineered data pipeline from Raspberry Pi Pico to FastAPI backend
  • Integrated Google's Gemini API with prompt engineering
  • Successfully transitioned from SpringBoot to FastAPI under time pressure

# Technologies:

Python
FastAPI
Gemini API
Node.js
Raspberry Pi
MicroPython
Medical Physics Research
May 2025 – Aug. 2025
Developing a novel neural network architecture to remove Megavoltage (MV) scatter artifacts from medical diagnostic images, advancing markerless tumor tracking research.

# Key Highlights:

  • 1 of 8 recipients of funded summer research fellowship
  • Novel neural network architecture development
  • Advancing markerless tumor tracking research
  • Improving radiotherapy accuracy through clearer visualization

# Technologies:

Python
PyTorch
OpenCV
Neural Networks
Mechanical Inclination
Feb. 2021 – Present
Personal blog and social media presence reviewing pens, pencils, stationary goods, and technology projects. Building a community around quality tools and craftsmanship.

# Key Highlights:

  • 150+ combined followers across YouTube, Substack, and Instagram
  • Consistent content creation for 4+ years
  • Reviews of stationary goods and technology projects
  • Video production and editing skills

# Technologies:

Content Creation
Video Production
Social Media

cat experience.log

Computer Vision and Robot Learning Researcher

Jan. 2026 – Present

Loyola Chicago Software Systems Laboratory

Chicago, IL

Investigating imitation learning pipelines to enable robotic manipulators to mimic human dexterity from video input. Integrating foundation models (FoundationPose, SAM3) for robust 6D pose estimation and developing motion retargeting algorithms.

Webmaster

Oct. 2025 – Present

Loyola University Chicago, Department of Computer Science

Chicago, IL

Maintain and update the department website, ensuring content accuracy and 99.9% uptime. Collaborate with faculty to design and implement new web features. Optimize site performance and accessibility standards.

Medical Physics Researcher

May 2025 – Aug. 2025

Loyola University Cardinal Bernardin Cancer Center

Maywood, IL

Developing neural network architectures for medical image processing and tumor tracking research.

Software Engineering Intern

May 2024 – Aug. 2024

Bitsource LLC

Pikeville, KY

Developed hardware and software solutions for sidewalk crack detection and severity analysis.

Undergraduate Research Assistant

Jun. 2022 – Present

Moseley Bioinformatics Lab, University of Kentucky

Lexington, KY

Developing analytical tools for Fourier transform mass spectrometry data distortion removal.

grep -r "skills" ./

$ programming_languages.list
Java
Python
R
MATLAB
C
$ developer_tools.list
Git
VS Code
PyCharm
IntelliJ
Eclipse
Vim
Azure DevOps
$ libraries_& frameworks.list
Pandas
NumPy
Matplotlib
SciPy
OpenCV
PyTorch
FastAPI
MLflow
$ specializations.list
Machine Learning
Medical Physics
Bioinformatics
Image Processing
Data Analysis

tail -f blog.log

# Thoughts on technology, research, and the tools that make our work better.

$ Welcome to My Blog

An introduction to my personal blog where I'll share thoughts on technology, research, and the tools that make our work better.

Jan 8, 2025
2 min read
#introduction
#blog
#technology
Welcome to My Blog

$ Setting Up PyTorch for Medical Imaging Research

A comprehensive guide to setting up PyTorch for medical imaging projects, including GPU configuration and essential libraries.

Jan 7, 2025
2 min read
#pytorch
#medical-imaging
#machine-learning
#research
Setting Up PyTorch for Medical Imaging Research

curl external_content.json

Mechanical Inclination
My personal blog where I review pens, pencils, stationary goods, and share technology projects.

150+ followers across YouTube, Substack, and Instagram

./contact --help

# I'm always interested in discussing new opportunities, research collaborations, or just connecting with fellow tech enthusiasts.

nathanhogg1224@gmail.com