Samuel Valenzuela
Samuel Valenzuela
Center Assistant since 2023 Samuel Valenzuela studied Informatics: Games Engineering (B.Sc.) and Informatics (M.Sc.) at the Technical University of Munich (TUM). During this time, he joined the "TUM: Junge Akademie", TUM's scholarship program dedicated to fostering interdisciplinary research projects, both as a scholarship holder and later as a tutor. In parallel to his studies, Samuel also completed several internships in which he took on various roles from a software engineer at Amazon Web Services in Dublin, Ireland, to a management consultant at Bain & Company. Samuel joined the CDTM management team in September 2023. He is responsible for the Digital Changemaker course as well as the Ecosystem task force. Working with Prof. Dr. Johannes Kinder at the LMU Chair of Programming Languages and Artificial Intelligence, his research is at the intersection of machine learning and software security. Leveraging explainability techniques, Samuel aims to understand and improve machine learning models for binary code. Please reach out to him if you are interested in writing your master's thesis in this area.
Research

Machine learning for software security and explainable binary code analysis; doctoral researcher at LMU Chair of Programming Languages and Artificial Intelligence (Prof. Johannes Kinder).

  1. Pretraining on Call Graphs: When Binary Analysis Tasks Profit From Context2026, conference, IEEE/ACM ICPC, with Johannes Kinder
  2. Which Instructions Matter the Most: A Saliency Analysis of Binary Function Embedding Models2025, workshop, IEEE S&P Workshops (DLSP), with Moritz Dannehl, Johannes Kinder
In the research overview