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. In 2019, I joined HelloFresh as Global Senior Director of Data to lead and support the data foundation department and was driving the global organizational effort towards a distributed data management architecture (Data Mesh). Since 2022, I work as the head of engineering for Data & ML at Fit Analytics a Snap Inc. company. For more details, see my LinkedIn profile.



My passion is to enable data products at scale including its organizational and technical challenges. In particular,

  • Data as a Product: Data is used to solve real problems that maximise the experience of HelloFresh customers and the profitability of the business.
  • Distributed Ownership: Product and Analytics Teams are empowered with tools, capability, and knowledge to own their data assets and develop their data products.
  • Self-Serve Platform: The data platform reduces complexity by providing infrastructure, tools, and education on best practices, reducing the time to insights, and allow domain teams to focus on building data products.


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.