Luis Kaiser

I am a PhD student in Computational Mathematics and AI at the Oden Institute, The University of Texas at Austin advised by Richard Tsai.

Currently I design agentic systems that can do science and physical modeling themselves Google [X], the moonshot factory for an undisclosed project related to finance and decarbonization.

Previously I was a Software Engineer at Bloomberg in London where I built large-scale AI forecasting systems. I completed my B.Sc. and M.Sc. in Mathematics at Technical University of Munich (TUM) and University of Wuerzburg working with Christian Klingenberg and Andreas Hotho.

Luis Kaiser

lkaiser (at) utexas.edu
Google Scholar, LinkedIn

Publications and Updates

Joining Google X, the moonshot factory as an AI Resident teaser
Joining 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
Starting my PhD in AI at The University of Texas at Austin teaser
Starting 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.
Joining Bloomberg as a Software Engineer teaser
Joining 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 teaser
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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