Bio: Irina was a PhD student in Data Science and also a DeepMind fellow. She was interested in applications of data science to the logistics of cities as well as in physics and theoretical machine learning. During her time at CDS, she initiated research with Kyle Cranmer. Irina graduated from Mathematics and Physics at Universitat Autonoma de Barcelona. During her studies, she collaborated in two research projects. The first one in Complex Systems trying to model the pairwise interactions of letters in texts. The second one was in experimental particle physics, which led to a summer internship at CERN with an analysis focused on the DMttbar signal. From her undergraduate merits, she was awarded a Fulbright Scholarship by the Spanish Fulbright Commission to pursue doctoral studies in the USA. She also obtained an MSc in Mathematical & Theoretical Physics at the University of Oxford.

Awards: 

• DeepMind Fellowship