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Niki van Stein
Associate Professor · LIACS, Leiden University

Niki van Stein

Explainable AI for machine learning and optimisation. I lead the XAI group, where we make optimisation algorithms, predictive models and LLM-designed code understandable enough to trust.

Portrait of Niki van Stein
GROUPXAI · Natural Computing
INSTITUTELIACS, Leiden
FOCUSXAI · AAD · BBO
Cover of the book Agentic Large Language Models
Coming soonNew book · Springer 2026

Agentic Large Language Models

Large language models that reason, act in the world and interact with each other. The book explains how agentic LLMs work, how they act and collaborate, and what that means for the people who use them.

BY Max van Duijn, Michiel van der Meer, Aske Plaat, Niki van Stein

The book is not yet released. Pre-order or follow it on the publisher's website.

Open source

LLaMEA evolves metaheuristics with large language models. Try it in one line.

$ pip install llamea
# LLaMEA · IEEE Transactions on Evolutionary Computation, 2024
$ git clone https://github.com/XAI-liacs/LLaMEA
Talks · 2026

On stage this year

Keynote Invited talk or lecture All talks →
  1. 28 SEP · LJUBLJANA
    SLIDES
    KEYNOTE
    Automated Algorithm Design
    AutoML Conference 2026
  2. 15 AUG · BREMEN
    KEYNOTE
    Efficiently Evolving Algorithms for Real-World Applications
    Workshop on Learning-assisted Algorithm Design (IJCAI-LEAD 2026)
  3. 30 JUL · DORTMUND
    VIDEO
    INVITED LECTURE
    LLMs for Optimization in Code-Spaces: From Metaheuristic Design to AutoML
    AutoML summer school
  4. 13 JUL · COSTA RICA
    KEYNOTE
    Towards a Universal Algorithm Constructor: Evolutionary Computation in the Age of LLMs
    ECADA workshop, GECCO 2026
  5. 05 JUL · CHINA
    INVITED LECTURE
    Automatic Algorithm Design with LLMs and Evolutionary Computation
    Peking University summer school "Swarm Intelligence & Large Language Models: Intersection, Collision, and Academic Frontiers"
  6. 22 JAN · LEIDEN
    INVITED KEYNOTE
    Evolving Knowledge: What Evolutionary Search and Agentic LLMs can teach us
    AI in Education: Impact, Insights, & Innovation
Publications

Selected papers