Nathan Dai

https://github.com/ND0322

• Collaborating with PhD researchers on a machine learning-based approach to optimize adsorbate geometries.
• Using the ASE and ACAT Python libraries for molecular simulations and catalyst design.

• Lead volunteer scheduling and interview processes for a nonprofit coding program.
• Coordinate team logistics to ensure consistent delivery of educational programming.

• Built a full-stack web app that uses a minimum-cost flow algorithm to optimize elective course assignments.
• Designed for a school scheduling problem as part of a programming class.

• Co-developed a full-stack application allowing users to upload and vote on websites.
• Project built in response to a teacher's request to demonstrate real-world utility.

• Learned machine learning workflows including supervised learning, classification, and neural networks.
• Built multiple AI projects, including a finance-focused application using predictive modeling.

• Taught beginner Python to low-income students.
• Created custom lesson plans and weekly assignments.