Summary
Richard Tsai is a professor of numerical analysis and scientific computing based in Austin with eight years of professional experience and a long academic pedigree including a PhD from UCLA and a Veblen instructorship at Princeton/IAS. He specializes in numerical methods, scientific computing, and image processing, translating deep theory into practical algorithms and computational tools. At UT Austin he combines research, teaching, and mentorship, often tackling high-dimensional and computationally intensive problems that bridge applied mathematics and computer science. Colleagues value his ability to distill complex numerical ideas into implementable solutions and to supervise interdisciplinary projects that connect imaging with large-scale simulation.
8 years of coding experience
University of California, Los Angeles