About me

As I mentioned in the home page, my name is Alejandro Catalina, raised and born in Madrid, Spain. I am currently a PhD student in bayesian statistics at Aalto University, working under the supervision of Aki Vehtari since March 2019.

I studied a Bachelors in Computer Science at Universidad Autónoma de Madrid. In my final year I joined the Machine Learning Group to work with José R. Dorronsoro Ibero for my bachelors thesis, titled Data Analytics on Renewable Energies: Organization and Analysis of Radiation Satellite Measures.

After graduation I went on to study a Masters in Machine Learning at the same university and with the same supervisor, that ended with the masters thesis Nesterov Acceleration Schemes for Group Lasso, where I developed some theory in the field of Convex Optimization to accelerate the practical convergence of FISTA, a very well known algorithm in the field.

In October 2017 I joined the PhD program at Universidad Autónoma de Madrid in machine learning. After an interesting first year I joined the Machine Learning Group at Cambridge University as a visiting doctoral student, working under the supervision of José Miguel Hernández Lobato, where I became interested in Bayesian methods.

Upon coming back to Spain I started working on a side project with José Miguel’s brother, Daniel Hernández Lobato, who is a professor in the same department I was doing the PhD at. This is a project on which I am still working, developing inference methods for spike and slab models under multiclass classification settings.

A few months later and after I got news of some openings at the Probabilistic Machine Learning Group I got in touch with Aki, who accepted me to become his student, and here I am!

Hobbies

I have a very broad variety of hobbies that I enjoy full of passion, these include but are not limited to (in any particular order):

If you share any of these passions and are up for a discussion on any of these or other fun topics, reach out!