Back to members
Frieso Turkstra portrait
Oude Kijk in 't Jatstraat 26, Groningen f.turkstra@rug.nl
Alumnus

Frieso Turkstra

Research Assistant · University of Groningen

Frieso Turkstra is an alumnus of the group who contributed as a lab research assistant on NLP, human–AI deliberation, and LLM-based systems, including training, evaluation, and deployment workflows in the group’s research and tooling efforts.

Natural Language Processing Human–AI Deliberation LLM Systems Training & Evaluation

Research profile

NLP and interactive human–AI systems.

His work contributes to NLP and LLM-based systems for discussion, evaluation, and deployment, with a particular interest in interactive settings where human and AI reasoning meet.

This includes support for experimentation around deliberation, system behavior, and practical research workflows.

Current themes

The themes that shape the current work.

Human–AI deliberation LLM systems Training and evaluation Research tooling
This profile focuses on current public-facing research directions and points to university and publication pages for additional detail.

Experience

Selected recent work in research and applied experimentation.

2025–2026Research Assistant

Work on constructing argumentation knowledge graphs for search engine optimization and related group research infrastructure.

2024Teaching Assistant

Developed an Android application for Wizard-of-Oz experiments on a personal AI assistant robot.

Education

An interdisciplinary background connected to AI and language.

Academic background

  • MSc Information Science (2023–2024).
  • BA Philosophy of AI and Cognitive Sciences (2020–2023).
  • Honours Programme in Philosophy (2019–2021).
  • BA European Languages and Cultures (2018–2022).

Projects and methods

Ongoing work across research tooling and experimental systems.

  • Support for NLP and LLM-based discussion systems.
  • Training, evaluation, and deployment workflows for experimental research setups.
  • Technical contributions that connect prototypes, data processing, and analysis workflows.

Current focus

Research tasks linked to practical experimentation.

Interactive discussion systems Knowledge graphs Evaluation workflows
The work emphasizes useful research infrastructure for experiments where human and AI reasoning interact in real time.

Group context

Work connected to the group’s broader agenda on language and reasoning.

  • Research support for language technology and computational argumentation projects.
  • Technical work around tools and experiments for human–AI deliberation.
  • Contributions to practical research workflows inside ArgsBase Lab.