PhD student at Civic AI Lab, University of Amsterdam
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
school-choice-survey
June 6, 2026 – Present
Code for paper "Modeling Strategic Risk in School Choice: A Case for Transparent Design"
View Projectstrategic-rank-minimization
June 6, 2026 – Present
Code repository for the paper Strategic Manipulation of Preference in the Rank Minimization Mechanism
View Projectregulated-strategic-lending
February 25, 2026 – Present
Codebase for the working paper "The Role of Regulatory Institutions in Strategic Lending"
View Projectgfn-matcher
November 10, 2024 – Present
Code repository for generating preference-based agent-item matches using Generative Flow Networks
View Projecttransport-network-school-choice
November 11, 2022 – March 7, 2025
transport-network-school-choice — GitHub repository
View Projectbd22-docker-setup
December 7, 2021 – February 3, 2022
Setup of the Jupyter Notebook environment including PySpark, Pandas and DuckDB for course Big Data 2022
View Projecttemporalsummary
September 11, 2019 – September 18, 2019
Entity Temporal Evolution Summarization
View ProjectStandardOntologyVisualization
January 11, 2018 – September 13, 2019
StandardOntology Visualization in D3
View ProjectI40KG
March 24, 2017 – November 17, 2021
Contains the development for the Industry 4.0 standards knowledge graph (I40KG). Its current collaborative development is driven by VoCol - http://vocol.iais.fraunhofer.de/sto/
View ProjectFuhSen-reactive
December 18, 2015 – September 24, 2018
Reactive version of the Federated RDF-Based Hybrid Search Engine
View ProjectCultural Fit Analysis
The candidate's projects show a strong academic/research focus, particularly in areas like mechanism design, strategic modeling, and knowledge graphs. While these demonstrate analytical capabilities, the direct alignment with a typical industry 'Data Scientist' role requires further validation. The diversity of technologies (e.g., Scala, JavaScript, HTML alongside Python) indicates a broad technical curiosity, but also suggests a potential lack of deep specialization in core data science tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.