Laura is a data scientist at Twitter with a taste for functional programming. She mostly writes Scala, though she really admires O'Caml as well. Laura knows a bit about recommender systems, statistics and math. She did her BSc in Financial and Actuarial Mathematics in Vilnius University, where with several friends she wrote a thesis about The Role of Tail Index in Analysis of Currency Returns.

Laura achieved her MSc in Computer Science at the Free University of Bozen – Bolzano, where she wrote a thesis about Pairwise Preferences in Collaborative Filtering. Laura spent three incredible months at Hacker School in New York and totally enjoyed it.

Currently, Laura is working as a data scientist at Twitter, mostly building domain specific user behaviour models, and is enjoying writing Scala, using Scalding, Algebird, and Summingbird.

You can check out Laura's blog here.