---
aliases: ["Nina Petersen"]
Is A: Person
Tier: "3rd 🥉"
Tags: ["Podcast Guest"]
---
# Nina Petersen

AI researcher based in Copenhagen, working at the intersection of machine learning research and production engineering at a Nordic AI startup. Nina appeared on the podcast to discuss the gap between AI research and practical AI deployment, covering the challenges of putting ML models into production, managing model drift, and building teams that bridge the research-engineering divide. She has a PhD in machine learning and several years of industry experience deploying models at scale.

## Notes

- Rare combination of deep research expertise and practical production experience; can speak to both audiences
- Her framework for evaluating when ML is the right solution (vs. simpler approaches) was a standout moment in the episode
- Candid about the failures and false starts in her own work, which made the conversation honest and relatable
- Follows up with thoughtful commentary on social media after episodes air; good at extending the conversation

## Collaborations

- [[25q2-podcast-season-3]] — recorded episode on practical AI in production environments
- [[topic-ai-ml]] — core topic area for the conversation
- [[procedure-podcast-guest-outreach]] — connected through the Nordic AI research community
