Christoph Sawade

Brief Bio

I obtained a M.Sc. in computer science ("Diplom Informatik") from the Humboldt Universität zu Berlin, Germany in April 2009 and a Ph.D. in machine learning ("Dr. rer. nat.") from the University of Potsdam, Germany, in May 2013. After finishing my Ph.D. in 2013, I left university and joined SoundCloud as a machine learning engineer and as a Data Science Lead since November 2016.

Research Interests

My research interests include theory and techniques in machine learning and statistics, in particular, for music classification / information retrieval and social networks. I have also worked on active learning and evaluation, learning under distribution shift, and structured learning in the context of scalable ranking of online ads.


Check my Git repositories.


I have reviewed for the major conferences and journals in the area of machine learning:

  • Conference on Neural Information Processing Systems, 2013-2015
  • International Conference on Machine Learning, 2012-2016
  • Conference on Knowledge Discovery and Data Mining
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Machine Learning Journal, 2015, 2012.



Several introductory and advanced courses on basic theory and techniques of machine learning. Please check out my academic website.