Postdoctoral Scholar at University of California, Berkeley
Berkeley, California, United States
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Summary
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Daniel San Martin is a Postdoctoral Scholar in Berkeley with a decade of experience marrying scientific computing, numerical methods, and high-performance GPU programming to the modeling of wildland fires. His PhD work produced a high-performance coupled wildfire–atmosphere model and he has led open-source efforts for Chilean wildfire simulation, blending computational fluid dynamics, data analysis, and machine learning. As an educator and researcher he has taught core programming and scientific computing courses while translating domain theory into scalable code for research-grade simulations. Comfortable moving between academia and hands-on implementation, he combines rigorous numerical methods with practical performance engineering to simulate complex fire–atmosphere interactions at scale.
10 years of coding experience
Computer Engineering Computer Engineering, Computer Engineering Computer Engineering at Universidad Católica de Temuco
Doctor of Philosophy Computer Science and Engineering, Doctor of Philosophy Computer Science and Engineering at Universidad Tecnica Federico Santa Maria
Online Program Leading Digital Transformation, Online Program Leading Digital Transformation at MIT Professional Education
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Daniel San Martin - Postdoctoral Scholar at University of California, Berkeley