My main research interest is in large-scale Machine Learning. I am passionate about developing models that address the challenges posed by the data today — high volume, velocity, and variety. I am also interested in mining and modeling social and information networks, and natural language processing. My previous work focuses on: recommender systems, semi-supervised learning, active learning, sentiment analysis, building Wordnets.
My background is in Computer Science. In 2010 I graduated from Staffordshire University (UK) with First Class Honors. Shortly after, I joined the Jozef Stefan Institute in Ljubljana (Slovenia) to work on sentiment analysis of financial tweets. In 2011, I enrolled in the European Master program in Data Mining and Knowledge Management. I spent two semesters in France at the University Pierre and Marie Curie (Paris VI) and one semester at the Polytechnic University of Catalonia. During the last semester of the master I did a six-months internship at Yahoo! Labs in Barcelona investigating the problem of cold-start recommendations. In July 2013, I graduated with a distinction as the best student in the generation 2011-2013.
I spent the summer of 2014 doing an internship in the Amazon Machine Learning team in Berlin working on scalable algorithms for learning sparse models.