Borja Menéndez

PhD in Operations Research

The first time I heard Operations Research I too was left with this poker face 🤨
So if you...

  • Make day-to-day decisions

  • Solve business problems with software

  • Want to understand the secret sauce that helps business and affects society

In Feasible I talk to you about the main technology that assists, facilitates and automates data-driven decision making: Operations Research.Yes, Feasible, my newsletter.

© Borja Menéndez. Todos los derechos reservados.

The importance of choosing

The success of a business is a concatenation of good decisions. The recipe is simple, but we all know that the greater the number of decisions, the greater the probability of taking unsuccessful paths that lead to failure.What if with mathematical algorithms we were able to make decisions minimizing risks? What if we could evaluate in minutes more than a million solutions and obtain the optimal one for our business?Operations Research and Artificial Intelligence are technologies created to improve decision making and people's lives, by being able to adapt them to each business through data collection. Everything that was once in a CEO's head is now also in mathematical equations and artificial neural networks. And this is where the meaning of engineering lies: when science is put at the service of human beings and their needs.In my newsletter, Feasible, I share with you how the use of these technologies solves the biggest business problems. I tell you how big companies make use of these scientific breakthroughs and how, with mathematics, we can access optimal solutions when the combinatorics are triggered.

Meme

Operations Research is the discipline that deals with the development and application of analytical techniques to aid in the decision making processes, key to business problems.And I have been in this field since I started my doctoral thesis almost 10 years ago. Straight to the point, you have seen me in several places:

I am also interested in Artificial Intelligence and its application to solve business problems, so I have worked in SaturdaysAI on two projects along these lines:

  • GANs N' Roses, a project based on Deep Learning that transforms paintings into pieces of music based on the emotions they evoke. You can see more details at sinestesia.xyz.

  • SAMUR.AI, a project based on Reinforcement Learning to optimize the management of SAMUR ambulances in the Community of Madrid.

I currently lead the Algorithms team at Trucksters, where we employ different techniques to optimally plan and replan loading, unloading and driver relay tasks throughout Europe. I also teach Operations Research at Universidad Pontificia de Comillas.And previously I have worked on problems related to the core business of different industries, such as:

  • Optimization of investment portfolios

  • Drug repositioning for Covid-19

  • Minimization of interference in telecommunication networks

  • Maximizing return on investment (ROI) in mobile network deployment

  • Predictive maintenance in the electricity sector

  • Staff planning in public transportation, banking and security

  • Optimization of order picking in warehouses

If you want to chat with me, you can do it from here. We can also talk on twitter or LinkedIn.

Contact

Drop me a few words over here and I'll get back to you as soon as possible 👇

Thanks so much

I will answer you as soon as possible, but in the meantime....

Igual te suena porque lo cuenta en su propio documental de Netflix. Sí sí, habla de ello abiertamente y además lo hizo con varias clases enteras!Verás.Un instituto americano no es igual que uno español. Allí, además del baile de fin de curso y de tener las típicas taquillas que vemos en todas las películas, tienen mucha más flexibilidad con ciertos temas. En concreto, con la elección de asignaturas. No hay diferencias entre un bachillerato y otro, el alumno escoge según sus preferencias.Esto tiene el problema de que un alumno puede tener asignaturas que se solapen porque:

  • Hay muchas asignaturas

  • Cada alumno puede elegir las que quiera

  • Un profesor puede dar más de una en más de un curso

  • Las aulas tienen una capacidad

Así que hacer un calendario escolar que cumpla todas las restricciones es muy complicado. Estos problemas son de optimización y se resuelven usando técnicas de Investigación Operativa. Lo sabía el bueno de Bill y decidió hacer un algoritmo para resolverlo.Este es solo un pequeño ejemplo, pero si quieres saber cómo impacta esto en tu día a día, los negocios o la sociedad, tengo una newsletter que lo cuenta.Te apuntas aquí: