Published multiple papers including 'Shrub Ensembles for Online Classification', 'Efficient Realization of Decision Trees for Real-Time Inference', etc. Also gave several talks and presentations on topics such as deep learning, random forest implementations, and deep learning on FPGAs.
Research Experience
Since 2016, has been a research associate at the chair for artificial intelligence at the department of computer science; involved in the SFB 876 Collaborative Research Center, project A1.
Education
Studied Computer Science at TU Dortmund University, received his Master of Science degree in 2016.
Background
Research interests include machine learning (ensemble learning, model application, Gaussian processes, submodular functions), and computer architecture (architecture-dependent optimizations and code generation, custom architectures/FPGAs, embedded devices). After obtaining his Master of Science degree in Computer Science from TU Dortmund University, he became a research associate at the chair for artificial intelligence at the department of computer science and is part of the Collaborative Research Center SFB 876, project A1.