I’ve been building, programming, and disassembling things since I can remember.
I’m the Data Science Initiative Director and an Associate Professor at the Institute of Mathematical and Computational Engineering and the Industrial and Systems Engineering Department in the School of Engineering at Pontificia Universidad Católica de Chile. Since 2021, I’m also a member of the Advisory Board of the Columbia Global Center | Santiago and a Board Member of the Chilean Institute of Operational Research.
Until July 2022, I was an Associate Professor at Universidad Adolfo Ibáñez and the Academic Director of the Master in Industrial Engineering. I hold a B.S. in Electrical & Industrial Engineering and an M.S. in Electrical Engineering from Pontificia Universidad Católica de Chile; and a Ph.D. in Industrial Engineering and Operations Research from Columbia University.
My research interest is in combinatorial problems and dealing with uncertainty in these settings. To do so, with our research team, we combine predictive and prescriptive analytics tools for uncertainty modeling with combinatorial optimization techniques and stochastic optimization, developing robust decision support tools for applied problems. Particularly I’m interested in scheduling problems and the analysis and design of approximation algorithms to compute good solutions.
At UAI, I founded and was the initial director of the UAI Systems Center; a center focused on solving complex real-life problems using operations research tools. I also led the Operations Research Seminar until 2018, developing its online channel. Before joining UAI, I was a researcher at Siemens Corporate Research in Princeton, NJ, developing decision support algorithms for smart grids and energy management. Before that, I worked at Booz Allen Hamilton, leading operations research projects in Chile, Argentina, Brazil, Peru, and Canada.
PhD in Industrial Engineering and Operations Research, 2013
MPhil in Industrial Engineering and Operations Research, 2010
MSc in Control Systems, 2004
Pontificia Universidad Católica de Chile
Education Abroad Program Diploma, 2003
University of California at Santa Barbara
BSc in Electrical Engineering, 2002
Pontificia Universidad Católica de Chile
Some of the recent or important work we’ve published.
Teaching and academic service positions.
My research is focused in combining predictive and prescriptive analytics, particularly in combinatorial optimization problems, and the analysis and design of approximation algorithms to solve them. I’m especially interested in applications related to scheduling, optimal control, and energy management, dealing with uncertainty in these settings.
Teaching M.S. and undergraduate level courses in data science and optimization.
Teaching M.S. and undergraduate level courses in prescriptive analytics and operations management.
Member of the M.S. and Ph.D. academic programs within the School of Engineering.
Member of the Interaction with Society committee, within the department.
Professor in industrial engineering and operations research. Member of the Ph.D. and M.S. in Industrial Engineering and Operations Research program committees.
Teaching Ph.D., M.S., and undergraduate level courses in optimization, prescriptive analytics, and operations management. Course enrollment was between 10 and 60 students.
Executive professional program at UAI that combines analytic skills from industrial engineering and operations research, together with leadership skills and multidisciplinary teamwork.
Led the accreditation process, achieving a three-year accreditation from the National Accreditation Committee.
The current grants we have.
Applied projects in which we connect theory and practice.
One of my main interests is to connect theory and practice within my research. So these are the current projects I’m involved in, allowing me to connect the two.
We use combinatorial optimization, predictive analytics, and stochastic modeling techniques in these projects to develop decision support tools in various settings.
Using operations research methodologies, we are developing new tools for observatory operations.
Using deep learning spatial-temporal graph models for seasonal forecasting of extreme temperature events.
We are combining machine learning and stochastic optimization tools to develop optimal energy management systems for fotovoltaic generation with storage.
Developing tools for fault detection and diagnosis, in order to construct predictive maintenance systems.
Industry experience in R&D and administration experience within educational and research organizations.
Leading the initiative to ensure that UC leads the development of data-based research across the university, developing advanced human capital in data science and fostering data-centric interdisciplinary research within UC and its related communities.
Designed its strategic definitions and first triennial plan and budget. Currently leading its development and buildout.
Participation in conferences and interviews
These are some of the recent talks and conferences in which I have participated. A full list of all conferences and talks by the group is available here.
All the work has been done together with excellent collaborators and hard-working students.