PeopleofSuperintelligence

Researcher

Alexander Günther

Alexander Günther is a researcher who studies risk assessment for machine-learning components in safety-critical systems. He earned a BSc in Mathematics at TU Kaiserslautern in 2019 and an MSc in Mathematics there in 2022. At RPTU, he began a PhD in Informatics in 2022 and earned a BSc in Informatics in 2023. His work produced methods for failure-on-demand analysis, confidence-aware fault trees, dependent-data classification, Markov-chain analysis, and normal-classifier risk from 2023 to 2026. As of October 2026, he is a PhD student and research assistant at RPTU's Software Engineering: Dependability chair.

Timeline

  1. 2015–2023

    Mathematics and informatics degrees

    He studies mathematics at TU Kaiserslautern from 2015 to 2022, earning a BSc in Mathematics in 2019 and an MSc in Mathematics in 2022. At RPTU, he begins a PhD in Informatics in 2022 and earns a BSc in Informatics in 2023.

  2. 2023

    Failure-on-demand analysis

    In 2023, he presents a method for score-based binary classifiers that estimates a single reliable failure-on-demand value for system safety analysis.

  3. 2024

    Confidence-aware fault trees

    At ARES 2024, he, Sebastian Vollmer, and Peter Liggesmeyer present Confidence-Aware Fault Trees. Their method adds confidence levels to fault-tree analysis and uses failure-rate bounds for basic events that hold at a stated probability.

  4. 2025

    Risk estimates for dependent data

    In 2025, he coauthors Single-Valued Risk Estimation in Classification for Dependent Data with Sebastian Vollmer and Peter Liggesmeyer for IEEE AITest.

  5. 2025

    Markov chains for ML systems

    In 2025, he coauthors Continuous-time Markov Chains and their Limit Distribution for Systems with Machine Learning Components with Joscha Carra, Paul Schädrich, and Peter Liggesmeyer.

  6. 2026

    A bound for normal classifiers

    At ESREL 2026, he and Peter Liggesmeyer publish Single-Valued Risk Bound for Normal Classifiers.

  7. As of October 2026

    PhD student and research assistant

    As of October 2026, he is a PhD student and research assistant at RPTU's Software Engineering: Dependability chair. His research focuses on risk assessment for machine-learning components in safety-critical systems.

Career

  1. NowRPTU University Kaiserslautern-LandauResearch Assistant

Education

  1. 2023RPTU University Kaiserslautern-LandauBSc in Informatics
  2. 2022University of KaiserslauternMSc in Mathematics
  3. From 2022RPTU University Kaiserslautern-LandauPhD in Informatics
  4. 2019University of KaiserslauternBSc in Mathematics

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes RPTU University Kaiserslautern-Landau. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Kaiserslautern. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Kaiserslautern. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.

Sources and credits

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  1. Alexander Günther — Data Science and its Applications dsa.dfki.de. Checked 21 October 2026.
  2. Program for Monday, September 4th easychair.org. Checked 21 October 2026.
  3. ARES | Accepted Papers 2024.ares-conference.eu. Checked 21 October 2026.
  4. Alexander Günther csauthors.net. Checked 21 October 2026.
  5. CISOSE 2025 - IEEE AITest 2025 - CISOSE 2025 conf.researchr.org. Checked 21 October 2026.
  6. Single-valued Risk Bound for Normal Classifiers cmsweb.com.sg. Checked 21 October 2026.