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Background
Research interests center on applications of machine learning, especially search-based strategies and clustering.
Major application area includes malware analysis, particularly reverse engineering, static analysis, and adversarial strategies.
Current research focuses on automatic test suite generation using Information Theory and SMT solvers.
Actively contributes to three key research domains: scaling mental health, validating AI-based diagnosis systems, and advancing machine learning testing.
As a scientific disseminator, leads the 'Endless Science' initiative, sharing scientific knowledge through video-papers on YouTube.