Alexander Brauckmann




Visitor's Address

+49 (0)351 463 42336

+49 (0)351 463 39995

Helmholtzstrasse 18,3rd floor, BAR III59

01069 Dresden


Research Interests

Machine Learning-enabled compiler optimizations

Curriculum Vitae

Alexander Brauckmann received his Diploma degree in Computer Science from TU Dresden in March 2020, in which he has focused on Software Engineering, Systems Engineering, and Machine Learning. During his studies, he gained experience in various industry internships, as well as a student assistant at the Chair for Compiler Construction, where he wrote his final thesis on Machine Learning models for predictive and generative tasks on source code.


  • 2020

  • Alexander Brauckmann, Andrés Goens, Jeronimo Castrillon, "ComPy-Learn: A Toolbox for Exploring Machine Learning Representations for Compilers" , In Proceeding: 2020 Forum for Specification and Design Languages (FDL), pp. 1-4, Sep 2020. [doi] [Bibtex & Downloads]
  • Alexander Brauckmann and Andrés Goens and Sebastian Ertel and Jeronimo Castrillon, "Compiler-Based Graph Representations for Deep Learning Models of Code" , Proceedings of the 29th ACM SIGPLAN International Conference on Compiler Construction (CC 2020), Association for Computing Machinery, pp. 201–211, New York, NY, USA, Feb 2020. [doi] [Bibtex & Downloads]
  • Alexander Brauckmann, "Investigating Input Representations and Representation Models of Source Code for Machine Learning" , Master's thesis, TU Dresden, Feb 2020. [Bibtex & Downloads]
  • 2019

  • Andrés Goens and Alexander Brauckmann and Sebastian Ertel and Chris Cummins and Hugh Leather and Jeronimo Castrillon, "A Case Study on Machine Learning for Synthesizing Benchmarks" , Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages (MAPL), ACM, pp. 38–46, New York, NY, USA, Jun 2019. [doi] [Bibtex & Downloads]