Jürgen Degenfellner

Jürgen Degenfellner - Curriculum Vitae

Education

2026
Dr.scient.med. — Doctoral Programme of Applied Medical Science
Medical University of Vienna, Austria
ongoing
Dr.techn. — Doctoral Programme in Technical Mathematics
Vienna University of Technology (TU Wien), Austria
2019
Dipl.-Ing. (Master) in Technical Mathematics (Statistics & Business Mathematics)
Vienna University of Technology (TU Wien), Austria
2014
BSc in Technical Mathematics
Vienna University of Technology (TU Wien), Austria
2004
Matura (General Qualification for University Entrance)
HTL Steyr — Mechanical Engineering, Austria

Experience

since 2026
Co-Founder & Managing Director — FAIR Press Journals (company currently being incorporated)
AI-native, reproducibility-first scholarly publisher
  • Every submission's code and data are re-executed and certified in an agentic review pipeline that produces a structured verdict under a named human's sign-off — first editorial decision in hours to days rather than months
  • Open access, copyright retained by authors, income-tiered and waivable fees
  • First title: Journal of Reproducible Statistics (JRepStat) — methods, applications, replications and null findings judged on soundness rather than novelty
since 2023
Lecturer & Statistician
Zürcher Hochschule für Angewandte Wissenschaften (ZHAW), Winterthur
  • Teaching applied statistics and the foundations of AI in the Health Department
  • AI knowledge transfer and workshops; statistical advising on research proposals and publications
  • Participating in research projects (incl. SNF projects FeHBI and Resolve Swiss)
2022
Risk Management
CALPANA business consulting GmbH, Linz
  • Development of statistical methods in risk software (CRISAM); Monte Carlo approaches for multidimensionally dependent risks
  • Contributing to CRISAM.ai — applying AI methods to enterprise risk management
2021–2022
Lecturer — Advanced Analytics & Data Mining; Mathematics & Statistics
FH Upper Austria & FH BFI Vienna
2019–2022
Statistician
Medical University of Vienna
2017
Founder & CEO — Goliath Digital Services GmbH
Workforce and efficiency tools for the online marketing sector, Austria
2011–2015
Founder & CEO — Atum International
Online company operating within the EU, Malta

Fellowships & Awards

2026
CausalFlow — Hasler Stiftung small project (CHF 47,800, 10 months), Principal Investigator · to be submitted
A zero-install, glass-box tool for correct causal analysis in health research
  • Free, browser-based tool for researchers with a dataset and a causal question but no coding and no formal training in causal graphs — filling the gap between DAGitty (diagram, no estimation) and code libraries such as DoWhy (estimation, but requires programming)
  • Draw a causal diagram, set the relationships: the tool selects the correct adjustment set (total or direct effect), fits the appropriate regression, and reports a compatibility interval with a plain-language interpretation — without p < 0.05 thresholds or "CI-contains-zero" dichotomies
  • Checks the diagram against the data and warns in real time when the user conditions on a collider or leaves a confounding path open
  • Generates labelled practice datasets with known ground truth, making an abstract and error-prone topic teachable
  • Working prototype exists; the project delivers a hosted open-source release, validated with users and embedded in ZHAW teaching
2020–2023
DOC Fellowship Programme of the Austrian Academy of Sciences (EUR 114,000)
Competitive funding for highly qualified doctoral candidates

Computer Skills

Languages

Interests

Reading, running (longest run: 90 km), swimming (longest crawl swim: 7.8 km), self-defence.