Daniel Daza

I am a second year Master's student in Artificial Intelligence at the University of Amsterdam. My areas of interest are machine learning, relational models and representation learning. I am interested in methods that introduce relational inductive biases to improve sample complexity and compositionality. I am currently developing my thesis in the topic of unsupervised learning for graphs under the supervision of Thomas Kipf.

I received a BSc degree in Electronics Engineering from Universidad Distrital Francisco José de Caldas at Bogotá, Colombia. My thesis involved the application of artificial intelligence to the design and optimization of electrical machines.

In 2017 I created Drumate, an Android app for drummers that uses procedural generation of practice patterns, that as of today has about 100k downloads.

I share some of the things I learn here in the form of blog posts. Feel free to visit the Writing section!