Prescriptive analytics, in particular, combinatorial problems like scheduling and project management. Design and analysis of approximation algorithms, especially with applications related to control and energy/power management.

Ph.D. Thesis Supervised
- Anthony Cho (co-advising with Gonzalo Ruz), Prescriptive Maintenance Problems in Astronomical Observatories, 2022.

M.S. Thesis Currently Supervising

M.S. Thesis Supervised
- Andrés Lagos, Operational energy management strategies with storage, 2023
- César Cerda, Energy storage models for decision support systems, 2023
- Camila Marcuello, Decision support tools for observatory operations, 2023
- Paula Oyarzún, Algorithms for scheduling jobs in servers with penalties and uncertainty, 2022.
- Diego Fuentes (co-advised with Eduardo Moreno), Approximation algorithms for underground mining strategic project scheduling, 2022.
- Helena García, Optimal Energy Management Strategies with Storage, 2022.
- Macarena Azar, Operating Room Scheduling under Uncertain Surgery Times, 2018.
- Bruno Che Leon, Approximation Algorithms for Job Shop Scheduling, 2018.
- Sebastián Roldan, Unconstrained Demand Forecasting for LATAM, 2018
- Juan Jara, Optimization techniques for solving SVMs in Colorization Problems, 2015.

Undergraduate Thesis Supervised
- Constanza Lorca, Strategic Scheduling of Scientific Observations in Service Observatories, 2020
- Javiera Foucaut, Bárbara Morales, Optimal Reconfiguration Strategies for the ALMA Radiotelescope, 2019
- Begoña Gumucio, Ignacio Perez, Optimal Assignment of Professors to Students in Tutoring Courses for Universidad de los Andes, 2018.
- Jean Paul Hirschkowitz, Consuelo Norambuena; Automatic Systems for Fault Detection and Diagnosis at ALMA Radiotelescope, 2017.
- Magdalena Marín, Gianluca Baselli, Salvage Logging after Wildfires using Mixed Integer Programming, 2017.
- Tatiana Hevia, Daniela Thiele; Energy Management in a Microgrid with Multiple Storage Systems, 2016.
- Nataly Balboa, Paulina Castiblanco, Diego Hinojosa; Operational Harvest Scheduling for Forestal Hueicolla, 2016.
- Romina Abdala, Isidora Ramirez; Job Shop Scheduling for Large Problem Instances, 2016.
- Macarena Ballocchi, Loreto Stange; Job Scheduling with Resource Constraints for Prodin S.A., 2016.
- Catalina Flores, María Paz Mayral; Demand Forecasting for El Colorado Skiing Resort, 2016.
- Raúl Ibáñez, Christian Noack; Pricing Strategies for El Colorado Skiing Resort, 2016.
- Slavia Vojkovic, Isabel Margarita Weber; Energy Management in a Solar-Based Microgrid, 2015.
- José Curotto, Javiera Moreno; Revenue Management Tools for Improving the Utilization of Trucks at Lipigas S.A., 2015.
- Sebastián Urzúa, Sebastián Vega; Demand and Capacity Management to Improve Service Level at the University Gymnasium, 2014.
- Valentín Troncoso, Stefan Warda; Mathematical Programming Model for Maintenance Items Format Definition at LATAM Airlines, 2014.

Undergraduate Courses Taught
- Introduction to Data Science (PUC)
- Operations Management (PUC)
- Optimization (UAI)
- Operations Research (UAI)
- Mathematical Modeling (UAI)

Graduate Courses Taught
- Optimization (Professional Master, PUC)
- Asset Allocation (Master Level, Columbia University)
- Linear Optimization (PhD Level, UAI)
- Advanced Optimization (Master Level, UAI)
- Game Theory (PhD Level, UAI)
- Robust Optimization for Portfolio Selection (Master Level, UAI)

Dissemination
A whole list of talks can be found at https://www.raxlab.science/talk/
- In 2023, invited to present at the EY Seminar on Opportunities and challenges we see with the new tools in generative AI.
- In 2022, participated in the CNN TV Program "Divergentes" and several radio interviews on applications of Data Science to different industries.
- In 2021, invited to talk about engineering and operations research for the National Engineering Day Seminar at Universidad Católica de Temuco.
- In 2020, invited as a speaker at the Makers Fair Viña and several webinars during the lockdowns.
- In 2018, was the Invited Speaker at the ESO End of Cycle Meeting and in the TV program "Todo por la Ciencia".
- In 2016, participated as one of the main panelists in the First Complex Energy Systems Workshop at Pontificia Universidad Católica, among panelists from several universities and companies.
- In 2015, coordinated the Energy and Optimization Workshop, which allowed the interaction of industry and academic experts in the field. Researchers from 5 different Chilean Universities and 3 French ones, plus representatives of more than 10 companies, discussed important problems in the industry and the current state-of-the-art tools that can be used to solve them. This workshop fostered several research projects directly funded by private companies to do research on energy topics.
- I coordinated the Industrial Engineering and Operations Research seminar at Universidad Adolfo Ibáñez from 2013 to 2018, with more than 110 talks, of which over 70 have been done during the last three years. Additionally, these talks are left available for the public on YouTube and are being watched live from all around the country and later from more than 80 countries.

Research Transfer
I have been the Principal Investigator of several applied projects in the last three years, all of which have the objective of transferring and implementing research results to solve real-life problems. The most important in the last five years are:
- Improving Energy Management from Variable Resources with Storage using Stochastic Optimization and Machine Learning (funded by FONDEF) - 2020
- Astronomy 4.0 project for Fault Detection and Diagnostic (funded by CORFO and Ministerio de Economía via de Data Observatory) - 2019
- Developed an Internship Assignment Support System for the Occupational Therapy Department at Universidad de los Andes (privately funded) - 2018
- Developed a vehicle routing and allocation system for ENAP (privately funded) - 2017
- Development of an optimal energy management system for EcoEnergías (funded via CORFO) - 2016.
- Process improvements using artificial intelligence for a health insurance company (privately funded) - 2016.
- Development of autonomous fault detection and diagnosis system for the ALMA Radiotelescope (privately funded) - 2016.
- Development of a production scheduling system for Prodin S.A. (funded via CORFO) - 2015.
- Development of a decision support tool for forecasting and pricing strategies for El Colorado (privately funded) - 2015.
- Algorithm development for a real-time tracking and control system for bus/truck fleet at El Teniente/Codelco (privately funded) - 2014.

Currently holds several global patents for energy management algorithms, that are being implemented in smart grids across the world.