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My work sits at the intersection of AI, spatial statistics, and uncertainty. I develop interpretable models for geospatial data — quantifying error, stress-testing decisions, and translating insights into policy and practice. My background combines a Ph.D. in spatial planning with postdoctoral research at Princeton University.

Professional Experience

Postdoctoral Research Associate Dec 2023 – present
Princeton University
Lead applied research on social vulnerability, resilience, and sustainability; PI/Co-I support on proposals; member, Princeton Sustainability Advisory Committee; publications and conference presentations.
R&D Project Manager & Data Engineer Apr 2022 – Nov 2022
Fichtner IT Consulting
R&D project “DigIPlat” on flexibility platform interoperability (DE/AT/CH); commercial analytics, project acquisition; AI strategy for renewable energy.
Research Associate (100%/50%) Dec 2016 – Jun 2021
University of Stuttgart
Managed national/international projects; taught GIS and R; stakeholder workshops; web platforms; mixed-methods surveys; reporting and publications.
Research Associate Mar 2015 – Jun 2015
BOKU Vienna
Data modelling & programming; time, cost, and project management.
Consulting Intern Mar 2012 – Jul 2012
PE International (sustainability consulting), Stuttgart

Teaching

Module: Quantitative Environmental Planning Winter Term 2019/20, 2020/21
University of Stuttgart
Role: Lecturer & Lab Instructor (50% share) · Load: 2 SWS / 6 ECTS · Language: German
  • Lecture: Analytical and evaluation methods in spatial and environmental planning
  • Lab: GIS- and model-based spatial analysis and evaluation
Module: Methods of Analysis and Forecasting in Spatial and Environmental Planning Summer Term 2019, 2020
University of Stuttgart
Role: Lecturer & Lab Instructor (50% share) · Load: 2 SWS / 6 ECTS · Language: German
  • Lecture & Lab: Methods of spatial analysis and forecasting
Module: Applied GIS Summer Term 2017, 2020
University of Stuttgart
Role: Lecturer & Lab Instructor (50% share) · Load: 2 SWS / 6 ECTS · Language: English
  • Lecture: GIS in Environmental and Regional Planning
  • Lab: Applied GIS
Module: Large Case Study Winter Term 2018/19, 2019/20, 2020/21
University of Stuttgart
Role: Lecturer · Load: 8 SWS / 12 ECTS · Language: English
  • Lecture: Introduction to Data

Education

Ph.D., Institute of Spatial Planning (magna cum laude) 2016–2021
University of Stuttgart, Germany
Thesis: Development, mapping and validation of resilience and vulnerability indicators across spatial scales for climate-related hazards
Methods: indicator design, spatial ML, uncertainty & validation, OSM-derived socio-economic indicators
Dipl.-Ing. & M.Na.R.M.&E.E. (Double Degree, with distinction) 2012–2015
BOKU Vienna (Austria) & Lincoln University (New Zealand)
Thesis: Multi-directional flow algorithm in ArcGIS (Python) to determine residual torrential risk.
B.Sc. Agricultural Science 2008–2012
University of Hohenheim, Germany

Leadership & Engagement

  • Member, Princeton Sustainability Advisory Committee – advising on long-term institutional sustainability and equity priorities.

Languages

German: Native
English: Fluent (reading, speaking, writing)
Spanish: Intermediate (speaking, reading); basic (writing)
Russian: Intermediate (reading, speaking); basic (writing)