What is 100 Women in AI Denmark?
100 Women in AI Denmark is a national initiative launched by Connected Women in AI, in collaboration with Microsoft, Netcompany, and Djøf. Its mission is to identify, celebrate, and highlight 100 women who are actively shaping the future of artificial intelligence across Denmark.
Women currently make up a disproportionately small percentage of the AI workforce. This initiative aims to address this gender gap by making female role models in the tech, data, and AI sectors visible, influential, and connected.
The 2026 edition received close to 700 nominations spanning healthcare, research, law, design, engineering, entrepreneurship, the public sector, and business, revealing an AI ecosystem far broader than the public picture often suggests.
You can explore the full 2026 list here.
AI and data infrastructure at the core of Denominator
Yijian Liu, Senior Software Developer at Denominator, has been selected in the Data & Intelligence category, sitting at the heart of what Denominator does.
With a Master's and PhD in Computer Science from the University of Copenhagen, Yijian has spent the last seven years building her expertise at the intersection of scalable data systems, machine learning, and applied AI. Her academic background was shaped in part by the "Software, Data, People & Society" research environment at the University of Copenhagen, which examines how data science connects to real-world human and societal outcomes, a perspective she carries directly into her work at Denominator.
Denominator AI Insights
At Denominator, Yijian plays a central role in Denominator AI Insights, the company's AI-driven analytics product that transforms unstructured ESG and diversity disclosures into actionable intelligence.
The system works as follows:
- Tens of thousands of company reports are ingested and converted into structured, vectorized data using scalable data infrastructure.
- A multi-dimensional scoring model evaluates company performance across social and human capital dimensions.
- An LLM-based recommendation system generates tailored, data-driven guidance for clients, helping organizations identify where they stand and what to improve.
The result is a production-ready AI system that bridges advanced data infrastructure with generative AI to make complex, previously inaccessible analysis available at scale. Denominator's database covers more than 10 million public and private companies across 195 countries and 85-plus industries, and Denominator AI Insights makes that depth actionable for organizations of all sizes, including SMEs that typically lack dedicated data teams.
Three pieces of advice for women in AI
As part of her nomination, Yijian shared three practical pieces of advice for women considering AI, grounded in her own experience moving between academia and industry.
1. The technical boundary is more permeable than you think
The line between the technical and non-technical world is far more permeable than it might appear, especially in the age of AI. Do not let the technical label hold you back. Pick a problem that matters to you and start there.
2. You do not need to learn to code first
Start by writing down a task you already do in clear, step-by-step instructions. If you can describe the steps and define what "good enough" looks like for each one, you already have everything you need to begin automating it with AI. The ability to break down a problem clearly is the real skill, and you likely already have it.
3. AI builds. You think.
AI is a powerful tool for implementation, but it is not a source of ideas, that part is yours. Use AI to build faster and better, but protect your creative thinking. The ideas you bring are what make the work worth doing.
Discover the advice and perspectives of all 100 women selected this year at 100 Women in AI.
Congratulations to all 100 women
The 100 Women in AI Denmark 2026 list represents close to 700 nominations and a community of women actively shaping how AI is built, governed, applied, and understood across Danish society.
Congratulations to Yijian and to every woman recognised this year.
Who shapes AI matters.
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