Arion Scheid
Portrait of Arion Scheid

M.Sc. Student in Logic and AI · TU Wien

Arion Scheid

Vienna, Austria

I am a Master’s student in Logic and AI at TU Wien in Vienna. My interests lie in probabilistic program verification, rewriting and logic, and more broadly in understanding when and why automated systems can be trusted. Alongside this, I am exploring explainable AI and theoretical machine learning.

Before moving to Vienna, I completed my B.Sc. in Informatics at RWTH Aachen University, including an exchange semester in the Formal Methods master’s programme at Universidad Complutense de Madrid. In my bachelor’s thesis at the Programming Languages and Verification group, I showed how stochastic context-free grammars can be used to decide almost-sure termination for a class of probabilistic term rewriting systems, and I contributed to the group’s automated termination prover AProVE. I continue to work with the group on almost-sure termination of probabilistic rewriting.

  • Probabilistic Program Verification
  • Rewriting
  • Logic

CV

Education

  1. 2026 – present

    M.Sc. Logic and AI

    TU Wien · Vienna, AT

  2. 2020 – 2025

    B.Sc. Informatics

    RWTH Aachen University · Aachen, DE

  3. Sep 2024 – Jan 2025

    Erasmus Exchange, M.Sc. Formal Methods in Computer Science

    Universidad Complutense de Madrid · Madrid, ES

Teaching

  1. Apr 2025 – present

    Premium Tutor

    TutorSpace · Remote

    • One-to-one lessons in mathematics, computer science and physics, mainly Abitur preparation, in TutorSpace’s selective premium programme
  2. Apr 2022 – Sep 2024

    Student Tutor

    RWTH Aachen University · Aachen, DE

    • Formal Systems, Automata and Processes (Summer 2024)
    • Introduction to Programming (Winter 2023/24)
    • Data Structures and Algorithms (Summer 2023)
    • Analysis for Computer Scientists (Winter 2022/23)
    • Foundations of Logic Programming (Summer 2022)
Full CV (PDF)

Publications

2026

Projects

  • AProVE: Thesis Implementation

    2025

    Implemented the results of my bachelor’s thesis as two new processors for the (now open-source) termination prover AProVE.

    • Termination Analysis
    • Probabilistic Rewriting
  • Report for the Seminar in Artificial Intelligence at TU Wien on GNNExplainer (Ying et al., 2019): finds a flawed step in the derivation of its objective and studies two failure modes on a new benchmark.

    • Explainable AI
    • Graph Neural Networks
  • Vienna District Browser

    2026

    Project for the Knowledge Graphs course at TU Wien: a knowledge graph over Vienna’s public-transport timetable and rental listings, with rule-based reasoning, embeddings and a graph neural network, served as an interactive map that ranks districts by your preferences.

    • Knowledge Graphs
    • Rule-Based Reasoning

Contact

If you are interested in any of my work or would just like to talk, feel free to reach out. Email is the best way to reach me.