Projects

• DP-Diabetes-Diagnoser
  
  • Differentially Private Neural Network to diagnose patients based on medical data.
  • Used Stochastic gradient descent to train and Renyi differential privacy.
• "The Lab" Digital Garden
  
  • Maintains a public, graph-based wiki documenting ongoing research in Differential Privacy, Cryptography, and Neural Networks.
  • Utilizes a "digital garden" methodology to publicly iterate on technical notes, creating a transparent record of learning and project development
  • Features deep-dive documentation on projects like "Differentially Diagnosed" (Privacy-preserving ML)
• Shape Sprint V1
  
  • Developed a 2D endless runner game inspired by Geometry Dash, featuring custom gravity-based physics and jumping mechanics.
  • Implemented Axis-Aligned Bounding Box (AABB) collision detection to handle precise interactions between player and procedurally generated obstacles.

Research

• Undergraduate Research (2026)