Nathan Leo

My Timeline

PhD researcher and serial entrepreneur bridging computational mechanics, AI, and ecosystem innovation, from creating new machine learning frameworks to advancing quantum computing and sustainable technology.

Elementary School Building foundations through hands-on car and house projects and complex Lego sets
Middle School → High School Managed a thriving Minecraft server community, learning coding and people management skills
Undergraduate to PhD Research in AI, quantum computing, and computational mechanics

Experience

Entrepreneurial Ventures

Minecraft Server Owner, Community Manager & Lead Developer

2018 - 2021

Built and managed a thriving gaming community from the ground up, learning everything through self-directed study.

9000+ Unique Players
24/7 Server Uptime
18+ Staff Team Members

Key Responsibilities & Innovations:

  • Self-Taught Development: Learned Java programming, server architecture, and plugin development entirely through independent study and experimentation
  • Technical Infrastructure: Managed Linux servers, implemented automated backup systems, and optimized performance for concurrent users
  • Community Development: Created engagement strategies that grew the player base exponentially
  • Product Development: Designed custom game modes and plugins using Java, enhancing user experience and retention
  • Team Leadership: Built and led a staff team of 18+ moderators and administrators across different time zones
Linux Server Administration Java Development Community Management Team Leadership Customer Support

Iron Nova

May 2025 - Present

Started as an open source RL project, now taking it to the next level.

At Iron Nova, we're building a system to classify and predict satellite maneuvers, giving operators an information and energy advantage in contested orbital environments.

Anomaly Detection

By analyzing historical orbital data, we detect significant deviations that may indicate maneuver events—flagging them for further review.

Threat Classification

Operators can manually tag and assess threat levels, enabling downstream logic to adapt based on mission priorities and asset ownership.

Energy Analysis

Our system estimates orbital maneuvers and energy between the observing satellites to assess strategic advantages.

Reinforcement Learning Satellite Tracking Anomaly Detection Orbital Mechanics

The Idle Killers

January 2024 - August 2024

🏆 1st Place National Competition Winner - Revolutionary Airport Operations Optimization

30% Fuel Usage Reduction
1st National Competition
May 2024 Competition Victory

Developed a system that optimizes tarmac operations on runways for taxiing aircraft to and from terminals, automatically managing everything to reduce fuel usage up to 30% in some cases. Used Dijkstra's algorithm and reinforcement learning approach for our unique solution.

Project ended due to IP and patenting issues with the university.

Dijkstra's Algorithm Reinforcement Learning Airport Operations Optimization

Leo & Biancarelli

May 2023 - Present

Digital styling company specializing in AI-powered creative services and future-forward design solutions.

500K+ Monthly Page Impressions

Comprehensive consulting and design services from website designs, to clothing, to video creation all using cutting-edge AI technologies. Specializing in tools and design for the future, we've achieved over 500k page impressions in a month for client pages using our custom in-house processes.

Services:

  • AI-Powered Design Tools: Custom development of AI design workflows and automation
  • Future-Forward Consulting: Strategic guidance on emerging design technologies and trends
  • Multi-Media Creation: Video, web, and fashion design using proprietary AI processes
  • Performance Optimization: Delivering measurable results with advanced analytics and optimization
AI Video Creation Web Design Fashion Design Future Design Consulting Performance Analytics

Professional Experience

PhD Student

Engineering Science and Mechanics • 2024 - Present

PhD student in Engineering Science and Mechanics studying wave propagation, material science, machine learning, quantum computing, and numerical methods. Conducting advanced research at the intersection of computational mechanics and intelligent systems.

Wave Propagation Material Science Machine Learning Quantum Computing Numerical Methods

Internship

Nittany AI Advance • 2023 - 2024

Build and utilized a visual transformer network to capture information off of highschool transcripts. Worked on professional and collaboration development skills within a scrum base team system.

Visual Transformer Scrum Team Collaboration

Research Assistant

Beam Lab • 2021 - 2023

Used a convolutional neural network, MASK-RCCN library, to detect and predict structural cracks, for automated structural health monitoring. Used photogrammetry, Autodesk ReCap Pro, for mapping cracked structures, effectively overlaying them on pre-existing structural models.

PyTorch MASK-RCNN Autodesk ReCap Pro Photogrammetry

Structural Researcher Intern

Reuther+Bowen • Summer 2022

Developed and implemented Dynamo programs into Autodesk Revit to automate processes, significantly reducing work time.

Autodesk Revit Dynamo Automation

Projects

Coming Soon

Exciting projects are currently in development. Check back soon for detailed showcases of my latest work!