is a computer scientist, risk taker, and researcher, based Luxembourg and Berlin.

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You can reach me via email at:

chrishammerschmidt at ymail dot com

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About Chris

Chris works on big data analytics and machine learning problems, in particular analyzing high velocity, high volume data streams in the context of user authentication systems. As his area of application is in cyber-security, he is especially interested in secure learning methods for adversarial settings. Two concepts Chris is currently excited about exploring in his research are the integration of expert knowledge using (semi-/)supervised and active learning as well as learning generative models that enable further inspection, e.g. using model checkers.
His current research focusing on learning probability distributions over words in data streams, specifically through constructing timed probabilistic deterministic finite state machines. The focus is not only in developing algorithms, but in proving PAC-bounds and analysing the learnabiliy of associated languages and distributions.

The application of his research is user authentication: Users often are the weakest link, as authentication obstructs the user experience and requires memorization of long passwords or the use of additional tokens. By profiling users in real time, a system can gain confidence in a users identity and request a easier authentication method from a user, therefore lowering the contribution of the weakest link in the process.


Over the course of his academic career, Chris has most enjoyed working in the abstract -- using formal systems and investigating their limits. He is interested in answering questions about their expressive power and capability to predict or explain the world. In addition, he has also worked with complex systems, analyzing their properties as well as developing models to understand and forecast their behavior.
Besides the analysis of systems, Chris also enjoys working with the concrete problems at hand. In particular applications in optimization, numerical methods and machine learning appeal to him.

For Chris, the draw of these fields lies in the flexibility of their applications, which range from the social sciences to engineering, from bio-informatics to cognitive science, from physics to finance. This intellectual curiosity and passion for applying mathematics in a transdisciplinary way has led Chris to pursue psychology, linguistics, and politics, beyond the standard mathematics and computer science classes required by his degree program.

In his free time, Chris enjoys learning new languages (currently, Mandarin and Spanish), reading (especially science fiction, thrillers and fantasy novels), and athletics (he particularly enjoys skiing whenever he has the chance).


From 2006-2010, Chris held a number of positions as a volunteer and an elected member of the student government at the University of Erlangen-N├╝rnberg. During that time he organized political and social events, as well as lobbied against policies that negatively affected equal access to public education in Bavaria.


Chris is finished his Diplom in Informatik (German equivalent of an MS in mathematics and computer science) with distinctin in December 2013. In his thesis he investigates formal languages for modeling concurrency and the expressiveness of those languages.

Over the course of his academic career, Chris has taken classes in:

  • Scientific Computing: Numerics of Partial Differential Equations, Functional Analysis, Simulation on High Performance Systems
  • Theory and Foundation of Computing: Algebra, Information and Quantum Information Theory, Logics, Complexity Theory, Cryptography
  • Data Analysis: Model Building, Statistics, Data Analysis, Machine Learning
  • Business Administration: Accounting, Economics, Project Management
  • Finance: Financial Engineering and Risk Management, Computational Finance
  • Geometric Modeling and Visualization
  • Philosphy and Practical Ethics
  • Psychology

Chris is currently working on his PhD degree at the University of Luxembourg, within the Security and Networking Lab of the Interdisciplinary Centre for Security, Reliability and Trust. The degree is in joint supervision with the TU Delft. He also works part-time on obtaining a Master degree in business and information technology at the University of Hagen through a distance study program.