Tyler Chang received his Ph.D. in computer science from Virginia Tech in 2020. His work has included multi-objective optimization; efficient computing of Delaunay triangulations in medium to high dimensions; interpolation of high-dimensional black-box functions; and production of high-quality, portable mathematical software

Research Interests

• Non-convex optimization
• Approximation theory
• Numerical analysis
• Computational geometry
• Functional analysis
• Algorithms
• Parallel computing