School of Humanities and Sciences
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Jose Bolorinos
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2017
Masters Student in Statistics, admitted Winter 2020BioJose Bolorinos is a Ph.D. candidate in Civil and Environmental Engineering (Atmosphere and Energy) and an M.S. student in Statistics. Jose's research focuses on data-driven, systems-level strategies for coordinating urban water and energy supply infrastructure. As part of this work, Jose has investigated policy approaches that better understand and manage the lifecycle impacts of the energy sector on watersheds, air quality, and carbon emissions. Jose has also developed closed-loop customer monitoring and segmentation tools that allow water and electricity utilities to quickly track the responses of their customers to demand shocks inside and outside of their service areas. Currently, Jose is developing data-driven methods to support optimal design and deployment of the next generation of anaerobic, membrane-based wastewater treatment systems.
Broadly, Jose's research aims to develop open-source, cost-effective data and computation tools for infrastructure planning and management. His work has been featured at the California Data Collaborative, Stanford's Big Earth Water Hackathon, and AI for Climate Change Initiative. In 2018, a visualization tool Jose developed for wastewater treatment plant operators was awarded the Best Software Prize at Stanford's Big Earth Water Hackathon.
Prior to coming to Stanford, Jose worked as a data scientist for a healthcare consultancy subcontracted by the federal government to manage its Medicare and Medicaid claims databases. Jose received a B.A. in Economics from UC Berkeley and an M.S. in Environmental Engineering and Science from Stanford University. He was part of the start up operations team at the Bill & Cloy Resource Recovery Center, an experimental, pilot-scale wastewater treatment facility launched recently on the Stanford campus to accelerate innovative approaches to wastewater treatment. -
Emmanuel Candes
Barnum-Simons Chair in Math and Statistics, and Professor of Statistics and, by courtesy, of Electrical Engineering
BioEmmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics, a professor of electrical engineering (by courtesy) and a member of the Institute of Computational and Mathematical Engineering at Stanford University. Earlier, Candès was the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. His research interests are in computational harmonic analysis, statistics, information theory, signal processing and mathematical optimization with applications to the imaging sciences, scientific computing and inverse problems. He received his Ph.D. in statistics from Stanford University in 1998.
Candès has received several awards including the Alan T. Waterman Award from NSF, which is the highest honor bestowed by the National Science Foundation, and which recognizes the achievements of early-career scientists. He has given over 60 plenary lectures at major international conferences, not only in mathematics and statistics but in many other areas as well including biomedical imaging and solid-state physics. He was elected to the National Academy of Sciences and to the American Academy of Arts and Sciences in 2014.
