Luis Kaiser

I am a PhD student in Computational Mathematics and AI at the Oden Institute, The University of Texas at Austin. I design autonomous systems, including predictive planning, robotics and foundation models grounded in math advised by Richard Tsai.

I completed my B.Sc. and M.Sc. in Mathematics at Technical University of Munich (TUM) and University of Wuerzburg. For my master's thesis, I developed multi-step gradient descent for deep physical modeling advised by Christian Klingenberg. For my bachelor's thesis, I created a method to stabilize policy convergence of a deep reinforcement agent from sparse, stochastic rewards together with Andreas Hotho.

I was also a Software Engineer at Bloomberg in London where I built large-scale AI research and forecasting systems. Currently I work on AI/ML for an undisclosed project related to finance, decarbonization and climate at Google [X], the moonshot factory. Focus areas include generative optimization and large language models.

lkaiser (at) utexas.edu
Google Scholar, LinkedIn

Publications and Updates

Joined Google X, the moonshot factory as an AI Resident

Building AI/ML for an undisclosed project related to finance, decarbonization and climate in Mountain View, CA. Focus areas include generative optimization, large language models and reasoning.

Efficient Numerical Wave Propagation Enhanced By An End-to-End Deep Learning Model teaser

Efficient Numerical Wave Propagation Enhanced By An End-to-End Deep Learning Model Luis Kaiser, Richard Tsai, Christian Klingenberg. ENUMATH23, Springer Nature, 2024.

paper, code, arXiv

Started my PhD in AI at The University of Texas at Austin

Joining the Oden Institute for Computational Engineering and Sciences as a PhD student in Fall 2024.

Joined Bloomberg as a Software Engineer

Working on a large-scale AI forecasting system in London, UK starting in Feb 2023.

Completed Google's Foobar Challenge

Google's invite-only algorithmic challenge involves solving a series of discrete math puzzles using Python.

Autonomous Multi-Agent Deep Reinforcement Learning for Ice Hockey teaser

Autonomous Multi-Agent Deep Reinforcement Learning for Ice Hockey Luis Kaiser, Pedro Silva, Austin Aurelio, Marlowe Johnson. RL Computer Vision Competition, 2021.

paper, code

Evaluation and Improvement of Deep Reinforcement Learning Agents teaser

Evaluation and Improvement of Deep Reinforcement Learning Agents Luis Kaiser, Julian Tritscher, Padraig Davidson, Andreas Hotho. Bachelor Thesis at University of Wuerzburg, 2021.

paper, code

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