MindLens·Lab

Founder & Researcher

Evelyn Kim

Evelyn Kim

Senior at Singapore American School (Class of ’27). A patient, thoughtful researcher who prefers to sit with a question until she understands its shape.

Her published work centers on emotional intelligence in AI: “Artificial Intelligence in Emotional Intelligence Training for Autism” (July 2025), followed at MindLens Lab by two Phase 1 preprints — Kim, 2026a on human plurality, and Kim, 2026b on where a single AI diverges from it.

She has led MindLens Lab from inception — the initial idea, the study design, and the papers themselves. Her research also reaches beyond emotion: at NTU’s Lee’s Nano Energy Laboratory, she has seen how research prototypes emerge — through repeated cycles of design, fabrication, testing, and redesign — and how different specialized fields work as parts of a single system.

Mission

“Technology has often made it harder for people to connect. I believe it can also do the opposite — help human relationships feel a little smoother, a little richer. This is my small attempt to look for that path in the corner I know best: data and information. It's already turning into a long one.”

— Evelyn Kim

The full story of how the project took its current shape — the paper, the pivot, what she has learned along the way — is on the story page. First-person notes on individual milestones are on the project diary.

Research & educator advisors

Zhi Hao Lim

Zhi Hao Lim

Research Advisor

Behavioral & experimental economics · Cognition and Decision Lab, Columbia University

PhD candidate in Economics at Columbia University. His research combines field and lab experiments with careful econometric analysis to study how people process information, form judgments, and make decisions — with particular attention to the cognitive and behavioral foundations of those choices. Advises Evelyn on the experimental design and methodology behind MindLens Lab.

Genevieve Knaus

Genevieve Knaus

Educator Advisor

As Evelyn's mathematics teacher at Singapore American School, Genevieve has supported Evelyn in pursuing advanced mathematics and continues to offer broader mentorship — both inside math and across the curiosities Evelyn brings to it. She helps MindLens Lab as an educator collaborator, giving ongoing holistic feedback on the project as it evolves.

With thanks to

Acknowledgments

  • Curieux Academic Journal — for publishing the originating paper and providing a venue for high-school student research.
  • UNESCO Learning Planet Institute Youth Fellow platform — for hosting the paper and connecting it to a global youth-research community.
  • Singapore American School — for the academic environment that made the originating paper possible, and for recruitment support.
  • Every participant — every reading you contribute is the substance of this work.
  • Sean Kim (Evelyn's parent) — for site planning and AI-assisted development support.

We're growing

Roles open to the right people

MindLens Lab is small on purpose. Each phase grew out of the one before — a 2025 review paper opened the question, Phase 1 (now closed) measured how plurally humans read short clips, Phase 2 (running now) tests how four AIs compare on the same clips. The people we'd most like to work with next are ones who deepen the research itself, not extend the scaffolding. Roles we're thinking about:

  • Faculty advisor — cognitive science, developmental psychology, autism research, or emotion recognition. To shape methodology beyond Phase 2.
  • Educator collaborator — someone working with neurodiverse learners who can co-design the eventual study materials and ground them in classroom reality.
  • Researcher (read-only) — for statistical or qualitative analysis of the dataset, with the option to co-author findings.

Interested? Email contact@mindlenslab.org with a short note about how you'd engage.

The site

About this site

This site is the research space for MindLens Lab — rooted in Evelyn Kim's originating paper (2025). It now hosts the Phase 1 · Foundation record (the frozen plural-reading dataset and its two 2026 preprints) alongside the Phase 2 · Multi-AI Calibration study currently running against that dataset.

All research for this project — design, hypotheses, participant recruitment, model selection, data interpretation, and manuscript work — is grounded 100% in Evelyn's work. The site's software was built with AI assistance (Claude, via Anthropic's Cowork mode), carried out under human design, direction, and review at every step.

Reach the team: contact@mindlenslab.org