Charlie Doan

University of Texas at Austin

Hi, I'm Charlie!

B.S. Physics, B.S. Computer Science, Certificate in Quantum Information Science

About

Hello! I am a second-year student at the University of Texas at Austin. My interests are vast but deep! Currently, my interests are focused on conducting research in physics and the quantum information sciences. I've done a series of work and research in Quantum Computing and Quantum Optics and am highly motivated in the field of Quantum Information Science. However, I also dedicate a great deal of my time into conducting vehicle dynamics and engineering work, including structural design, as a dynamics member on UT Austin's FSAE team.

More →
  • Physics
  • Engineering
  • Computer Science
  • Quantum Information Science

Experience

  1. June 2026 - August 2026

    Austin, TX

    Paid Fellowship

    Quantum Optics Laboratory - J.J. Pickle Research Campus

    Carried out various experiments, involving classical and quantum experiments using laser optics. Took a trip to the QuLL Lab in Albuequerque, NM to conduct even further experiments.

    • Laser Safety
    • Optical Experiments
    • Quantum Informtion Science
  2. September 2025 – Present

    Austin, TX

    Dynamics Member

    Longhorn Racing

    Dynamics Suspension Member: worked on part design/analysis and suspension geometry/hardpoints.

    • Vehicle Dynamics
    • CAD
    • Structural Analysis
    • Suspension
    • Hardpoints
  3. January 2026 - May 2026

    Austin, TX

    Quantum Computing Freshman Research Initiative

    University of Texas at Austin

    Program focused on introductory topics in Quantum Information Science and Quantum Computing, including qubits, quantum key distribution, and etc.

    • Quantum Informtion Science
    • Quantum Computing

Projects

FSAE Bellcrank

Mechanical design of a pivoting component that transfers load and motion between a racecar's pushrod, shock, and other suspension components.

  • CAD
  • FEA
  • SolidWorks
  • Ansys
  • Mechanical Design
Read more →

Active-Learning Approach to Quantum State Tomography

An optimized approach to Quantum State Tomography experiments: can allows researchers to reduce the number of measurements needed to reconstruct an unknown quantum state.

  • Quantum Information Science
  • Supervised Machine Learning
Read more →

Shock Potentiometer Mounting

Suspension sensor integration for data collection, testing, and tuning.

  • CAD
  • SolidWorks
  • Mechanical Design
Read more →

Contact

Reach me at cd39243@utexas.edu.