Motivation Letter
Dear Members of the École Polytechnique Admissions Committee,
The Polytechnique tradition — the belief that the most pressing human challenges require the most rigorous scientific training — is one I encountered not through a guidebook but through reading. The alumni list reads like a map of modernity: engineers, mathematicians, physicists who reshaped the world. I do not presume to follow in those footsteps; I presume only to share the aspiration.
The Bachelor of Science at l'X is, to my knowledge, one of the few undergraduate programmes anywhere that treats scientific breadth not as a compromise but as a philosophy — the conviction that a researcher in any discipline is a better researcher for having deeply studied several. I share that conviction entirely.
My academic trajectory has been shaped by a similar philosophy. In Vietnam, I pursued mathematics, informatics, physics, and literature simultaneously — not because the curriculum required it, but because I believe each discipline sharpens the others. I ranked first nationally in my cohort, earned a Gold Medal in the Mathematical Olympiad, and built a research project on Vietnamese medical AI in the gaps between these commitments.
I am learning French with seriousness and pleasure. The intellectual culture of Paris — the seminars, the debates, the refusal to treat any idea as beneath examination — is something I have long admired from a distance. I am eager to experience it firsthand, and to contribute to it in whatever way I am capable.
Je vous adresse mes respectueuses salutations,
Curriculum Vitae
Academic Transcripts
Certified transcript available upon request.
| Subject | Year | Score | Grade | Note |
|---|---|---|---|---|
| Advanced Mathematics | 2022–2025 | 9.8 / 10 | A+ | Top of cohort |
| Informatics / Computer Science | 2022–2025 | 9.9 / 10 | A+ | Top of cohort |
| Physics | 2022–2025 | 9.5 / 10 | A | |
| English Language | 2022–2025 | 9.7 / 10 | A+ | IELTS 8.0 |
| Chemistry | 2022–2025 | 9.2 / 10 | A | |
| Literature & Humanities | 2022–2025 | 9.0 / 10 | A | |
| Cumulative Average | 9.6 / 10 | A+ | GPA 3.98 / 4.0 |
Letters of Recommendation
Research Proposal
Motivation. The overwhelming majority of clinical AI research is conducted in high-resource languages — English, Mandarin, German — using datasets that structurally exclude populations in Southeast Asia. Vietnamese, spoken by over 95 million people, has fewer than a dozen openly available medical NLP corpora.
Proposed Research Direction. I propose to investigate transfer learning methods — specifically multilingual pre-trained transformers (mBERT, XLM-R) — for Vietnamese medical entity recognition and symptom classification, asking how much labeled data is required and how demographic biases propagate across language boundaries.
Preliminary Work. A dengue symptom classifier trained on 1,200 manually annotated Vietnamese patient summaries achieves 87.3% F1 — encouraging for its simplicity, but clearly insufficient at scale. This project revealed both the promise and the severe limitations of working without adequate data infrastructure.
Fit with École Polytechnique. Mathematical foundations of machine learning — generalization theory, PAC learning, and their implications for model reliability in high-stakes medical AI applications.