Document-first layout
Michael Nam
A research-forward packet for the repo's mission-driven and high-upside lanes.
Country
France + Singapore
Use only for research-facing or high-upside routes.
Univ
PSL / École Polytechnique / NUS
Best when the school or scholarship case has a specific intellectual fit.
Cost
Major funding needed
Do not treat these as default affordability paths.
Certainty of applying
Targeted
Use when the upside is real and the story is school-specific.
Research Direction
The cleanest repo-specific research direction is applied AI for education access, low-resource communities, and trustworthy systems that still work outside ideal conditions.
AI for EducationLow-Resource NLPTrustworthy SystemsHuman-Centered ML
Statement Draft Frame
Start from a real access problem, not from abstract excitement about AI. Then connect it to technical questions such as data scarcity, fairness, interpretability, robustness, or deployment in under-resourced settings.
The AI work I care about most is the kind that still has to function when the users, the data, and the institutions are not already privileged.
Evidence Checklist
- One problem the student genuinely cares about
- One technical artifact that proves build ability
- One sign of mathematical or analytical discipline
- One school- or lab-specific reason this packet exists
Attachments
| CV | 1 page with project outcomes and competition signals first |
| Problem memo | Short note linking AI to education access or public-value use |
| Portfolio appendix | Links to code, demos, or technical write-ups |
| Recommendation prep | Talking points that reinforce seriousness, discipline, and mission |