Luis Kaiser is a highly skilled professional with extensive experience in artificial intelligence and machine learning. As a Research Scientist at The Julius Maximilians University of Würzburg, Luis built deep reinforcement learning agents for game theory. Subsequently, at The University of Texas at Austin, Luis designed advanced robotic systems, enhancing deep learning methods and achieving significant simulation speed improvements. Currently, as a PhD AI Resident at Google [X], Luis works on innovative projects focused on finance, decarbonization, and climate, utilizing generative optimization and large language models. Luis has also contributed to logistical efficiency and pricing strategies at COSMO CONSULT and optimized risk prediction at KPMG Deutschland. Luis's education includes degrees in Mathematics and Computer Science from renowned institutions, culminating in a PhD from The University of Texas at Austin.
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