Rodrigo A. Carrasco

Rodrigo A. Carrasco

Associate Professor & the UC Data Science Initiative Director

Pontificia Universidad Católica de Chile

Biography

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.

Interests

  • Combining Predictive and Prescriptive Analytics
  • Combinatorial Algorithms
  • Algorithm Design & Analysis

Education

  • PhD in Industrial Engineering and Operations Research, 2013

    Columbia University

  • MPhil in Industrial Engineering and Operations Research, 2010

    Columbia University

  • 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

Featured Publications

Some of the recent or important work we’ve published.

Uncertainty estimation through quantile forest for prescriptive scheduling of data processing at ALMA

The Atacama Large Millimeter/submillimeter Array (ALMA) is a prominent astronomical observatory known for its detailed imaging …
Rodrigo A. Carrasco, Luis Aburto, Jorge Garcia, Alfredo De Rodt, Gianfranco Speroni
PDF DOI

Is the change deforestation? Using time-series analysis of satellite data to disentangle deforestation from other forest degradation causes

Protecting natural ecosystems requires monitoring approaches that work as early warning systems to avoid degradation and protect …
Ignacio Fuentes, Javier Lopatin, Mauricio Galleguillos, Andrés Ceballos-Comisso, Susana Eyheramendy, Rodrigo A. Carrasco
PDF DOI

A RUL Estimation System from Clustered Run-to-Failure Degradation Signals

The prognostics and health management disciplines provide an efficient solution to improve a system’s durability, taking advantage of …
Anthony Cho, Rodrigo A. Carrasco, Gonzalo Ruz
PDF Project DOI

Improving prescriptive maintenance by incorporating post-prognostic information through chance constraints

Maintenance is one of the critical areas in operations in which a careful balance between preventive costs and the effect of failures …
Anthony Cho, Rodrigo A. Carrasco, Gonzalo Ruz
PDF Project DOI GitHub
See all publications

Academic Experience

Teaching and academic service positions.

 
 
 
 
 

Associate Professor

Institute of Mathematical & Computational Engineering, Pontificia Universidad Católica de Chile

Aug 2022 – Present Santiago, Chile

  • 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.

 
 
 
 
 

Associate Professor

Department of Industrial and Systems Engineering, School of Engineering, Pontificia Universidad Católica de Chile

Aug 2022 – Present Santiago, Chile

  • 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.

 
 
 
 
 

Associate Professor

School of Engineering and Sciences, Universidad Adolfo Ibáñez

Jan 2021 – Jul 2022 Santiago, Chile

  • 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.

 
 
 
 
 

Academic Director - Master in Industrial Engineering

School of Engineering and Sciences, Universidad Adolfo Ibáñez

Oct 2017 – Jul 2022 Santiago, Chile

  • 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.

 
 
 
 
 

Assistant Professor

School of Engineering and Sciences, Universidad Adolfo Ibáñez

Aug 2013 – Jan 2021 Santiago, Chile
  • Teaching undergraduate courses in operations research, supply chain management, mathematical modeling, and optimization. Course enrollment between 20 and 120 students.
  • Teaching master and Ph.D. level courses in prescriptive analytics, optimization and game theory. Course enrollment between 10 and 20 students.
  • Supervising undergraduate and graduate student thesis.
 
 
 
 
 

Adjunct Instructor

Industrial Engineering and Operations Research Dept., Columbia University

Jan 2013 – Aug 2013 New York, USA
  • Taught the course Asset Allocation for the MS in Financial Engineering program.
 
 
 
 
 

Teaching Assistant

Industrial Engineering and Operations Research Dept., Columbia University

Aug 2008 – Jan 2013 New York
  • Taught lectures, designed exams, and conducted recitations and office hours for the courses Asset Allocation and Optimization Methods for Financial Engineering. Course enrollment ranged between 60 and 90 students.
 
 
 
 
 

Teaching Assistant

School of Engineering, Pontificia Universidad Católica de Chile

Mar 1998 – Dec 2004 Santiago
  • Designed tests and conducted recitations and lectures for the following courses: Introduction to Programming, Circuit Analysis, Digital Systems, Electricity & Magnetism, Electromagnetic Theory, Telecommunications, Automatic Control, Advanced Topics in Automatic Control, Digital Systems Laboratory, Electronic Project, and Introduction to Microbots. Course enrollment ranged between 30 and 120 students.

Grants

Selected grants.

PLASMA: Analytics Platform for Maintenance Systems

FONDEF IT Grant IT24I0031 2024 – 2026
Project Subdirector / Principal Investigator

Development of prioritization strategies for oncological waiting lists with application in the South East Metropolitan Health Service

Public Policy Grant 2024 – 2024
Principal Investigator

Resource cost-aware scheduling problems under uncertainty

FONDECYT Grant 1231245 2023 – 2027
Principal Investigator

An integer programming approach to production scheduling, with applications in mining, astronomy and other problems

FONDECYT Grant 1231092 2023 – 2027
Co-PI

Using deep learning spatial-temporal graph models for seasonal forecasting of extreme temperature events (climateDL)

CLIMAT–AmSud Grant AMSUD210012 2022 – 2024
Scientific Coordinator for Chile

Alert and monitoring system for environmental relevant areas using satellite imaging

FONDEF IDeA Grant ID21I10102 2022 – 2024
Researcher

Operations Research Tools Applied to Scheduling in Observatory Operations

ASTRO20-0058 2021 – 2023
Principal Investigator

Improving Energy Management from Variable Resources with Storage using Stochastic Optimization and Machine Learning

FONDEF IDeA Grant ID19I10158 2020 – 2022
Project Director

Decomposition Methods for Optimization in Networks (DeMON)

STIC–AmSud Grant STIC190007 2020 – 2021
Researcher

Decomposition Methods for Stochastic Fixed-charge Multicommodity Flow Problems

FONDECYT Grant 1200809 2020 – 2023
Co-PI

Astronomy 4.0: Automatic Fault Detection and Diagnosis Systems for the New Generation Telescopes

FIE-2016-V022 and 16IFI6626 CORFO Grants 2019 – 2020
Principal Investigator

Projects

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.

Operations Research Tools Applied to Scheduling in Observatory Operations

Using operations research methodologies, we are developing new tools for observatory operations.

ClimateDL: Forecasting of extreme temperature events

Using deep learning spatial-temporal graph models for seasonal forecasting of extreme temperature events.

GEMS: variable-Generation Energy Management with Storage

We are combining machine learning and stochastic optimization tools to develop optimal energy management systems for fotovoltaic generation with storage.

Predictive Maintenance

Developing tools for fault detection and diagnosis, in order to construct predictive maintenance systems.

Industry & Administration Experience

Industry experience in R&D and administration experience within educational and research organizations.

 
 
 
 
 

UC Data Science Initiative Director

Pontificia Universidad Católica de Chile

Aug 2022 – Present Santiago, Chile

  • 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.

 
 
 
 
 

Board Member

Chilean Institute of Operational Research

Apr 2021 – Present Santiago, Chile
  • The Chilean Institute of Operational Research’s goal is to contribute to the diffusion and exchange of ideas and experiences among all those interested in some topic of Operative Research.
  • Board members provide leadership regarding the Institute’s activities and engagement with the community in Chile and abroad.
 
 
 
 
 

Advisory Board Member

Columbia Global Center | Santiago

Mar 2021 – Present Santiago, Chile
  • The Columbia Global Centers promote and facilitate the collaborative and impactful engagement of the University’s faculty, students, and alumni with the world, to enhance understanding, address global challenges, and advance knowledge and its exchange.
  • Board members provide advice, ongoing leadership and counsel regarding the Center’s projects, activities and engagement with alumni.
 
 
 
 
 

Chief Engineering Officer

Data Observatory

Mar 2020 – Feb 2022 Santiago, Chile
  • Chief Engineer for The Data Observatory, a non-profit organization of which UAI is a founding member, together with the Chilean Ministry of Economy, the Chilean Ministry of Science, and Amazon Web Services.
  • Coordinate interdisciplinary teams in projects related to data science, of very large data sets, combining descriptive, predictive, and prescriptive analytics tools; building infrastructure and services in cloud based systems.
 
 
 
 
 

Founder & Director

UAI Systems Center, Universidad Adolfo Ibáñez

Jan 2015 – Jun 2018 Santiago, Chile
  • Founded and Directed the university’s center dedicated to developing industrial engineering and operations research solutions and actively participate in technological transfer.
  • Developed the center’s mission and objectives, identifying the key advantages of the center, and actively relating the university’s research efforts with industry applications.
  • Developed and signed research agreements with more than 20 companies and organizations, which lead to applied research projects. Detected and obtained public and private funding opportunities in industry for the researchers associated with the center.
 
 
 
 
 

Research Engineer

Siemens Corporate Research and Technology

Jun 2012 – Jun 2013 Princeton, USA
  • Worked in the implementation and improvement of machine learning and optimization algorithms for demand shaping and demand response in power grids.
 
 
 
 
 

Research Assistant

Industrial Engineering and Operations Research Dept., Columbia University

Aug 2008 – Jul 2013 New York, USA
  • Developed algorithms for solving energy and resource management optimization problems with professors Garud Iyengar and Cliff Stein.
 
 
 
 
 

Associate

Booz | Allen | Hamilton

Feb 2005 – Jul 2008 Princeton, USA
  • Involved in projects with leading companies in Chile, Argentina, Brazil, Peru, and Canada.
  • Managed complete work fronts and one whole project with more than 10 team members, leading the project efforts and coordinating meetings and presentations with senior executives.
  • Relevant expertise includes post-merger integration, business strategy definition, maintenance strategy improvement, supply chain management, cost reduction, channel strategy development, and wargaming.

Recent Talks

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.

Optimization and waiting lists

Rodrigo A. Carrasco and Jocelyn Dunstan discuss the versatile applications of mathematical optimization and data science, from radio telescopes to oncology waiting lists.
Aug 14, 2024 8:30 AM — 9:00 AM Spotify
Rodrigo A. Carrasco
imfd spotify

Algorithms in a hyperconnected world

In this interview we talk about operations research and its importance in a data-centered world.
May 13, 2024 8:30 AM — 9:00 AM Radio 13c
Rodrigo A. Carrasco
Video radio_13c

Opportunities and challenges of generative AI

In this webcast, we share ideas and insights with Maria Francisca Yañez (Microsoft) and Patricio Cofre (EY) on the Opportunities and challenges we see with the new tools in generative AI.
May 17, 2023 9:00 AM — 10:00 AM EY Chile
Rodrigo A. Carrasco
Video

Pauta de Negocios

In this short interview (in Spanish), we talk about the importance of correctly managing data within organizations and the value it can generate.
Nov 29, 2022 9:00 AM — 10:00 AM Radio Pauta
Rodrigo A. Carrasco
Video

CNN Divergentes

In this program (in Spanish), we talk about how algorithms affect our lives and why we must be cautious during their design and implementation.
Jun 18, 2022 9:30 AM — 9:30 AM CNN Program
Rodrigo A. Carrasco
Video
See all talks

Current and Former Students & Research Engineers

All the work has been done together with excellent collaborators and hard-working students.

Ph.D. Students

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Andrés Catlán

Ph.D. Student, Industrial Engineering and Operations Research

Graduate Students

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César Cerda

M.S. Student, Industrial Engineering and Operations Research

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Andrés Lagos

M.S. Student, Industrial Engineering and Operations Research

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Diego San Martín

M.S. Student, Industrial Engineering and Operations Research

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Rodrigo Munizaga

M.S. Student, Industrial Engineering and Operations Research

Research Engineers

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Alfredo de Rodt

Research Engineer

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Camila Marcuello

Research Engineer / M.S. in Data Science

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Constanza Lorca

Research Engineer

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Luis Arias

Research Engineer / B.S. in Engineering

Undergraduate Students

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Matilde Valdés

B.S. in Engineering

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Tomás Couso

B.S. in Engineering

Former Ph.D. Students

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Anthony D. Cho Lo

Ph.D. in Industrial Engineering and Operations Research

Former Graduate Students

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Macarena Azar

M.S. in Engineering

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Camila Marcuello

Research Engineer / M.S. in Data Science

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Helena García

Research Engineer / M.S. in Engineering

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Bruno Che León

M.S. in Engineering

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Diego Fuentes

Master in Industrial Engineering and Operations Research

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Juan Jara

M.S. in Engineering

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Paula Oyarzún

Master in Industrial Engineering and Operations Research

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Sebastián Roldán

M.S. in Engineering

Former Research Engineers

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Benjamín Bastidas

Research Engineer

Former Undergraduate Students

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Felipe Contreras

B.S. in Industrial Engineering

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Gianluca Baselli

B.S. in Industrial Engineering

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Magdalena Marín

B.S. in Industrial Engineering

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Matías Lillo

B.S. in Industrial Engineering

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Luis Arias

Research Engineer / B.S. in Engineering