Mauricio Santillana

Mauricio Santillana

Henson Environmental Fellow: 2008-2010
PhD Computational and Applied Mathematics, University of Texas-Austin, 2008
Current Position: Assistant Professor, Harvard Medical School; Faculty member, Computational Health Informatics Program at Boston Children's Hospital; Associate, Harvard Institute for Applied Computational Science
Mauricio Santillana

Mauricio Santillana is an applied mathematician and physicist with a passion for getting involved in multi-disciplinary research projects aimed at understanding the impact of human activities on our environment as well as global climate change. He has a deep interest in creating bridges between mathematics and its applications, particularly within the engineering community.

In 2001, Mauricio received a BS in physics with honors from the Universidad Nacional Autonoma de Mexico in Mexico City. After which, he started graduate school at the University of Texas at Austin, earning an MS in Computational and Applied Mathematics in 2003. Since 2003, he has been part of the inter-disciplinary research team at the Research Institute for Geography and Geomatics, CentroGeo, based in Mexico City and part of the National Council for Science and Technology of Mexico. In 2004, Mauricio started his PhD studies at the University of Texas at Austin. His doctoral work in computational fluid dynamics has been inspired by the need to simulate flooding in coastal areas during severe weather events, such as hurricanes, and consists of analyzing, developing and implementing a mathematical model to simulate overland flow in vegetated areas such as coastal wetlands.

As the Henson Environmental Fellow, Mauricio worked with Eli Tziperman (EPS, SEAS) on a project to understand the mechanisms that resulted in surprisingly warm winter temperatures in continental areas of northern North America, and the implications of these mechanisms to future climate. Mauricio also worked with Daniel Jacob (SEAS) and Michael Brenner (SEAS) on a project aimed at reducing the computational cost of the Global Chemical Transport Model, GEOS-Chem, using a spatial reduction algorithm.

Faculty Host

Eli Tziperman, Daniel Jacob, Michael P. Brenner, Earth and Planetary Sciences; School of Engineering and Applied Sciences

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