CV

Education

• Ph.D. in Mechanical Engineering, Brigham Young University, expected 20XX
• B.S. in Mechanical Engineering, University, year

Research interests

• Aeroelastic design optimization of wind turbines
• Gradient-based optimization & efficient gradient computation (adjoint / AD)
• Deep-learning surrogate models for engineering design

Experience

• Year–Year: Graduate Research Assistant
  • Brigham Young University
  • One line on what you worked on.
  • Advisor: Name

Skills

• Numerical analysis and scientific computing
• Programming: Julia (primary), Python, MATLAB, Fortran, C++, C#
• Gradient-based optimization, automatic differentiation, adjoint methods
• Deep learning / surrogate modeling

Publications

Example: A Title of a Paper You Wrote

Cardoza, A., & Coauthor, B. (2025). "Full Title." Venue, vol(issue), pages.

Teaching & resources

Example: A Course, Tutorial, or Resource

Awards and service

• Awards, fellowships, reviewing, leadership, etc.