Our Team

Daniel Mateos

Dani did his PhD in Molecular Biology applying bioinformatics techniques to the study of how the shape of animals is encoded in their genome. Since then, he has applied his data skills to any problem that came in his way. He is our expert in Scala, Spark, and the Python scientific stack.

GitHub

Personal Website

Igor Arambasic

Igor is a Doctor in Telecommunications. In order to extract the positioning data out of telecommunication measurements he switched to distributed systems, and never looked back. In 2014 he traded positioning for traveldata as he joined Amadeus, where he enjoys bringing scattered travel data sources to life.

GitHub

Israel Herraiz

Israel is a Data scientist, FOSS enthusiast, big data developer, and geek, not necessarily in that order. He is a strategic cloud engineer at Google, jumping into distressed Big Data projects to save them like a firefighter would. In a previous life, he reasearched OSS projects and taught programming to engineering students.

GitHub

Personal Website

Juan Arévalo

Juan wrote his PhD on the problem of plasma modelling within nuclear fusion reactors. He is unashamedly a Linear Algebra and Statistics geek, which is why he is enjoying himself so much with the current Deep Learning revolution. He is our DL expert and can discuss the how and why of learning complex representations from small amounts of data. He is interested in the societal impact of machine learning, including how to code fairness into our algorithms.

GitHub

Sebastien Pérez

Sebastien is a Telecommunications Engineer turned web developer turned Data Scientist. He is our visualization expert, so if you need your data to pop into life in the eyes of your analysts or customers, he is your man.

GitHub

Antonio Almagro

Toni also did the jump from academia to industry. After his PhD in aeronautical engineering modelling fluid dynamics within an engine he jumped into distributed systems engineering and from there into industry.

GitHub