García-Heredia David

Hi!

I'm David García-Heredia, a passionate about mathematical optimization and software development. More specifically, my areas of interest are:

• On the math side: Combinatorial optimization, metaheuristic algorithms, and constraint programming.
• On the software side: Making software products easy to use, maintain, and extend. This makes me pay a lot of attention to software architecture & maintainability, as well as to cloud computing.
• On the pure coding side: Efficient algorithms' implementation, parallel computing, and error handling.

Nowadays, I spend part of my spare time coding optimization engines, either for general problems (similar to what MIP solvers do) or specific ones (e.g., rostering) in Rust or Go. Hopefully, one day I will consider them ready enough to be released :)

If interested, below you will find more information about me, my publications, talks, etc.

Bests!

David

Education

Technologies

Publications

• García-Heredia, D., Molina, E., Laguna, M. & Alonso-Ayuso, A (2021). A Solution Method for the Shared Resource-Constrained Multi-Shortest Path Problem. Expert Systems with Applications , 115193.


• García-Heredia, D., Alonso-Ayuso, A., & Molina, E. (2019). A Combinatorial model to optimize air traffic flow management problems. Computers & Operations Research, 112, 104768.


• Ruiz-Hernández, D., García-Heredia, D., Delgado-Gómez, D., & Baca-García, E. (2019). A probabilistic patient scheduling model for reducing the number of no-shows. Journal of the Operational Research Society, 1-11.


• Otamendi, F. J., & García-Heredia, D. (2015). Isochrones as Indicators of the Influence of Traffic in Public Health: A Visual Simulation Application in Ávila, Spain. International journal of environmental research and public health, 12(10), 12556-12576.

Talks

• David García-Heredia. Software development in Operations Research. How to keep code under control?. Optimad, May 2025, Madrid (Spain).


• David García-Heredia. Mathematical Optimization Using Julia. PyData Madrid, October 2022, Madrid (Spain). Slides


• David García-Heredia, Antonio Alonso-Ayuso, Manuel Laguna, and Elisenda Molina. Metaheuristic algorithm for the Air Traffic Flow Management problem. In ODS2022 International Conference on Optimization and Decision Science, August 2022, Florence (Italy).


• David García-Heredia, Bartosz Rybicki. Matheuristics to create the flight schedule of Ryanair. In XXXIX Congreso Nacional de Estadística e Investigación Operativa, June 2022, Granada (Spain).


• David García-Heredia. A not so standard introduction to Julia. Ryanair Data Science MeetUp, September 2021, Madrid (Spain). Slides


• David García-Heredia, Antonio Alonso-Ayuso, Manuel Laguna, and Elisenda Molina. A matheuristic for the Common Capacity Constrained Multi Shortest Path Problem. In XXXVIII Congreso Nacional de Estadística e Investigación Operativa, September 2019, Alcoi (Spain).


• David García-Heredia, Elisenda Molina, and Antonio Alonso-Ayuso. New Mathematical Optimization Models for Air Traffic Flow Management. In XXXVII Congreso Nacional de Estadística e Investigación Operativa, May 2018, Oviedo (Spain).


• David García-Heredia, Elisenda Molina, and Antonio Alonso-Ayuso. New Mathematical Optimization Models for Air Traffic Flow Management. In 1st Spanish Young Statisticians and Operational Researches Meeting, November 2017, Granada (Spain).


• David García-Heredia, Elisenda Molina, and Antonio Alonso-Ayuso. A new MIP model for the Air Traffic Flow Management Problem. In 2nd European conference on Stochastic Optimization, September 2017, Rome (Italy).

Experience