Resume
Academic Achievements
- Paper 'Short proofs without interference' accepted at SYNASC 2025; Co-lead on the WWTF-funded project 'Verifying Without Loss of Generality'.
Research Experience
- Postdoc University Assistant at Vienna University of Technology, Forsyte Research Unit, and Johannes Kepler University Linz, Institute for Symbolic AI.
Education
- PhD in Computer Science at TU Wien, Forsyte Research Unit, supervised by Georg Weissenbacher and co-supervised by Armin Biere; MSc in Computational Logic from TU Dresden and Free University of Bolzano.
Background
- Research interests: solver certification and data extraction from proofs, especially within the context of reasoning without loss of generality in finite domains (SAT/QBF). Recently, expanding into model checking, interactive software verification, and new use cases for logic-based solvers (flexible scheduling and procedural content generation).
Miscellany
- Worked at Microsoft Research Cambridge and the lab formerly known as NICTA.