Resume
Academic Achievements
- 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.
Miscellany
- Social Media: GitHub, Twitter, Google Scholar