Welcome to my portfolio!

Hello! I'm Ryan. I'm a nuclear engineering student with a lifelong passion for learning, technology, and building. I have been interested in nuclear energy since I was in 2nd grade, when I learned about climate change and nuclear's role as clean energy. Right now, I'm a nuclear engineering PhD student at UC Berkeley under Prof. Guanyu Su, specializing in thermal-hydraulics.

GitHub ORCID iD0009-0008-6474-6860 LinkedIn

Skills

  • Not a desk engineer!
  • Experienced with machining (Bridgeport mill, drill press)
  • Strong experience with the design and construction of complex electromechanical devices
  • Can use a soldering iron and other electronics fabrication tools
  • Experienced with 3D printing and CNC workflows
  • Worked with laser and waterjet cutting machines

  • Experienced with microcontroller programming
  • Can test and debug electronics
  • Experienced with control theory and PID tuning
  • Code is well-commented and cleanly organized
  • Can read technical documentation
  • Experienced with solid mechanics, heat transfer, and CFD simulation tools

Fluent C# .NET Python Git Java Arduino
Proficient C++ HTML CSS JavaScript
Familiar MATLAB XML

Software

Office: Word, Excel, PowerPoint, Outlook, Visio
CAD: Fusion 360, SOLIDWORKS, Creo Parametric
CFD: COMSOL, Ansys Fluent, Star-CCM+

Research

Graduate Researcher, HEAT Lab

I am developing a novel method of thermal characterization at the HEAT Lab at UC Berkeley, under Prof. Guanyu Su. Current techniques for measuring the thermal properties of anisotropic materials are slow and labor-intensive, which makes them poorly-suited for the large quantity of new materials under development for nuclear and space systems. Predictive algorithms (ML, AI, etc.) require a closed feedback loop where materials can be characterized then the data fed back into the algorithm to enhance predictive ability. We aim to develop a neural network-enhanced measurement technique that can run within a few seconds rather than a few hours to close the feedback loop and accelerate the pace of materials research.

Languages Spoken