Sicco has a strong background in machine learning with applications in cyber security, software engineering, and mathematical optimization. His broad interest is in the development of new machine learning technology, in particular, state machine learning. The focus is on using machine learning for tasks other than prediction, such as analysis, optimization, control, and verification.
Most relevant for APTA Technology, his main research line is to learn interpretable models from software logs such as network traces. He recently won a prestigious VIDI grant to continue his research agenda on sequence models for software.
At APTA Technologies, Sicco is in charge of research and technology.