LAB
Research and experimentation
We investigate questions at the intersection of AI, healthcare, public systems, and human behavior. This is where new ideas become products.
Active Research
Our current experiments and research initiatives.
Learning Intelligence
Can ML predict when a learner will answer incorrectly?
Building ML models to predict learner performance, enabling early intervention and personalized support.
Grant Compliance AI
Can AI identify compliance requirements across funding docs?
Developed NLP techniques to extract requirements and cross-check against proposals. This became GrantGuard.
Healthcare Data Quality
How can systems identify quality issues before decisions?
Developing systems to automatically validate healthcare data and flag anomalies early.
Research approach
How we conduct research and move ideas into production.
Define the question
Start with a real problem, not technology looking for problems.
Gather data
Work with partners. Understanding data quality and limits is critical.
Experiment
Test approaches, evaluate results, document findings. Failure is part of it.
Validate
Test with real users in real environments. Lab success doesn't guarantee operational success.
Deploy or learn
If it works, productize it. If not, publish findings and explore next ideas.
Interested in collaborating?
Share data, co-research, or be an early adopter. Let's work together.
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