Work

Projects that find psychological structure in qualitative customer data and connect evidence to strategy.

Probato

Independent research and prototyping since 2024. The system represents customer reactions through stance, meaning, and Moral Foundations vectors, turning qualitative signals into interpretable evidence.

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Moral Foundations activation in customer reactions over time
Three-hour means of model outputs from a real case
Chart summary and data

Signals fell after the first May 18 interval. Fairness then remained the highest signal in most three-hour buckets at roughly 0.46-0.54. Vertical markers denote major response events.

Sentiment distribution in online stakeholder reactions
LLM-assisted aggregate of 8,265 analyzable online reactions
Chart summary and data

The distribution is 6,009 negative reactions (72.70%), 1,044 neutral (12.63%), 717 mixed (8.68%), and 495 positive (5.99%). Sentiment labels are model outputs, not human ground truth.

SNU MBA Applied Business Project

An MBA graduation project that examines what markets and stakeholders reacted to during a cybersecurity crisis, then evaluates response alternatives against the evidence.

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