Data Scientist @ I work as a data scientist at Spotify, with a focus on understanding user behavior in the product --- a mixture of research, statistical analysis, and machine learning. From February 2013 to Present (2 years 11 months) Stockholm, SwedenPh.D. Candidate @ My research has been focused on understanding operation and user behavior in large-scale Peer-to-Peer (P2P) systems such as BitTorrent and Spotify. My research includes defining metrics for characterizing P2P systems, visualizing and modelling properties of P2P systems, and understanding strengths and limitations of different measurement techniques; I am also one of the main contributors and the current maintainer of the Peer-to-Peer Trace Archive, which was established to facilitate the exchange and re-use of traces collected from operational P2P systems within the research community. The Archive currently hosts 24 traces collected by different researchers and research groups from BitTorrent, Gnutella, eDonkey, Skype, and PP Live. All traces in the archive have been anonymized and are stored in a unified data format. From May 2008 to January 2013 (4 years 9 months) Research Intern @ From January 2012 to May 2012 (5 months) Sweden

Doctor of Philosophy (Ph.D.), Computer Science @ Delft University of Technology From 2008 to 2013 MSc, Software Engineering of Distributed Systems @ KTH Royal Institute of Technology From 2004 to 2006 BSc, Computer Science @ Beijing Institute of Technology From 2000 to 2004 Boxun Zhang is skilled in: Algorithms, Python, Distributed Systems, Computer Science, LaTeX, Programming, Machine Learning, Research, Data Analysis, Software Engineering, Java, Data Mining, Artificial Intelligence, Pattern Recognition, Parallel Computing