Cloe Cortes Balcells
This page reports only the academic work registered in the databases of the Transport and Mobility Laboratory, and is not necessarily a comprehensive list of the work by Cloe Cortes Balcells.
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- Technical reports (2)
- Seminar (1)
- Regular teaching (5)
- Miscellaneous lectures (9)
- Project supervision (14)
Technical reports
- Cortes Balcells, C., Krueger, R., and Bierlaire, M. (2023). Multi-objective Optimization of Activity-Travel Policies for Epidemic Control: Balancing Health and Economic Outcomes on Socio-Economic Segments. Technical report 221007. Transport and Mobility Laboratory, ENAC, EPFL.
- Cortes Balcells, C., Krueger, R., and Bierlaire, M. (2022). Disaggregate modeling and policy optimization for the Swiss SARS-CoV-2 outbreak. Technical report 221007. Transport and Mobility Laboratory, ENAC, EPFL.
Seminars
- Cortes Balcells, C., Krueger, R., and Bierlaire, M., Agent-based epidemiological models. STRC 2021, September 13, 2021, Ascona, Switzerland
Regular teaching
- Optimization and Simulation
- Year: Spring 2024
- Section(s): Doctoral program in Civil and Environmental Engineering
- Lecturers: Michel Bierlaire, Cloe Cortes Balcells, Léa Ricard, Pavel Ilinov
- Webpage: http://transp-or.epfl.ch/courses/OptSim2024
- Mathematical modeling of behavior
- Year: Fall 2023
- Section(s): Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistant: Evangelos Paschalidis, Nicola Ortelli, Janody Pougala, Cloe Cortes Balcells
- Webpage: https://moodle.epfl.ch/course/view.php?id=1001
- Optimization and Simulation
- Year: Spring 2023
- Section(s): Doctoral program in Civil and Environmental Engineering
- Lecturers: Michel Bierlaire, Cloe Cortes Balcells, Selin Atac
- Webpage: http://transp-or.epfl.ch/courses/OptSim2023
- Mathematical modeling of behavior
- Year: Fall 2022
- Section(s): Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistant: Silvia Varotto, Nicola Ortelli, Cloe Cortes Balcells, Tom Haering
- Webpage: https://moodle.epfl.ch/course/view.php?id=1001
- Optimization and Simulation
- Year: Spring 2022
- Section(s): Doctoral program in Civil and Environmental Engineering
- Lecturers: Michel Bierlaire, Silvia Varotto, Selin Atac, Cloe Cortes Balcells
- Webpage: http://transp-or.epfl.ch/courses/OptSim2022
Miscellaneous lectures
- Logit Mixtures; Combining Data (SP and RP)
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 13, 2024
- School: EPFL
- Lecturer: Evangelos Paschalidis
- Assistants: Cloe Cortes Balcells, Nicola Ortelli
- Nested logit; Aggregate forecasting
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 12, 2024
- School: EPFL
- Lecturer: Cloe Cortes Balcells
- Assistants: Pavel Ilinov, Evangelos Paschalidis
- Logit Mixtures; Combining Data (SP and RP)
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, January 31, 2023
- School: EPFL
- Lecturer: Evangelos Paschalidis
- Assistants: Cloe Cortes Balcells, Janody Pougala, Negar Rezvany
- Nested logit; Aggregate forecasting
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, January 30, 2023
- School: EPFL
- Lecturer: Cloe Cortes Balcells
- Assistants: Selin Atac, Tom Haering, Negar Rezvany
- Logit Estimation and Specification Testing
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, January 29, 2023
- School: EPFL
- Lecturer: Tom Haering
- Assistants: Cloe Cortes Balcells, Marija Kukic, Nicola Ortelli
- Hybrid Choice Models
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 11, 2022
- School: EPFL
- Lecturer: Silvia Varotto
- Assistants: Cloe Cortes Balcells, Selin Atac
- Nested Logit; Aggregate Forecasting
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 08, 2022
- School: EPFL
- Lecturer: Selin Atac
- Assistants: Cloe Cortes Balcells, Tom Haering
- Introduction; Logit Estimation and Testing
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 07, 2022
- School: EPFL
- Lecturer: Cloe Cortes Balcells
- Assistants: Janody Pougala, Selin Atac, Negar Rezvany
- Introduction; Logit Estimation and Testing
- Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 08, 2021
- School: EPFL
- Lecturer: Tim Hillel
- Assistant: Cloe Cortes Balcells
Project supervision
Masters theses
- Antoine Goupil de Bouille
- Section: Mathematics
- Optimizing Gas Storage Strategies: Addressing Price Fluctuations and Leakage through a Mercuria Case Study
- Supervision:Michel Bierlaire, Cloe Cortes Balcells, Fabian Torres
- Expert:
- 20/02/2024-24/06/2024
- Dixit Sabharwal
- Section: Communication Systems
- Modeling the Influence of Fear on Daily Activity Scheduling during a Pandemic through an Endogenous Choice Set Formation Approach.
- Supervision:Michel Bierlaire, Cloe Cortes Balcells, Janody Pougala
- Expert:
- 19/09/2023-29/01/2024
- Mattia Mariantoni
- Section: Mathematics
- Targeted COVID-19 policies in Switzerland: A review of different optimization strategies.
- Supervision:Michel Bierlaire, Cloe Cortes Balcells, Nour Dougui
- Expert: Joseph Lemaitre
- 20/02/2022-24/06/2022
Semester projects
- Generating a synthetic population with health and COVID-19 information, Aline Janvier, January 15, 2024
- Modeling Individual Activity Schedules and Behavior Changes in COVID-19 Using Metaheuristic Optimization, Pierre Alexis Hellich, January 15, 2024
- Targeting population to evaluate COVID-19 strategies based on activity-travel behavior., Antoine Goupil De Bouillé, June 03, 2023
- Predicting activity schedules of the population considering non-pharmaceutical interventions, Arthur Nussbaumer, June 03, 2023
- Studying socio-economic variables through the different waves of SARS-CoV-2, Clément Dauvilliers, June 03, 2022
- Drawing infection probabilities based on socio-economic characteristics using ML Causal Inference, Hannah Gelblat, February 04, 2022
- Drawing infection probabilities based on socio-economic characteristics using ML Causal Inference, Mathias Nuris, February 04, 2022
- Adding an Epidemiological penalty in MATSim to study the impact of SARS-CoV-2 in mobility, Florent Zolliker (SMA), January 31, 2022
- Designing a MATSIM environment to study the impact of SARS-CoV-2 in mobility, Antoine Crettenand, June 11, 2021
- Designing a MATSIM environment to study the impact of SARS-CoV-2 in mobility, Chantal Gressier (SMA), June 03, 2021
- Designing a MATSim environment for a vehicle sharing system as a transport mode, Paula Vogg (SGC), January 29, 2021