Hi, I am Luis Kaiser
I'm a Ph.D. Student in Computational Mathematics at the Oden Institute, The University of Texas at Austin. I currently design deep physical modeling and reinforcement learning in game theory advised by Richard Tsai.
I received my B.Sc. and M.Sc. in Mathematics at Technical University of Munich and University of Wuerzburg where I worked on machine learning-based trading and deep learning training algorithms for wave simulation.
I was also a Software Engineer at Bloomberg LP in London, UK in the Analyst Workflow Team where I built data-driven financial and research solutions.
In my free time, I play soccer and read.
Featured Publications
A Multi-Agent Reinforcement Learning Surveillance-Evasion Problem using MCTS and Hamiltonian-Jacobi Equations.
Scalable Wave Simulations in 2D aided by Deep Learning and a self-recursive training algorithm.
A ResNet model with DAgger for a state-based approach in 2v2 SuperTuxKart Ice Hockey.