My (Chiffon) Nguyen

My (Chiffon) Nguyen she/her

Nguyễn Trà My / 阮沐茶 / 윈자미

AI Researcher & Life-long Learner

Pronunciation

My = /me/, Chiffon = /shi-FON/. I'm Chiffon in English-speaking context.

I research how to ensure that current and future AI systems reflect and support pluralism across languages, cultures, and social contexts.

I care about AI ethics, and impacts of AI on humans, society, and more-than-human world.

Ongoing work: CoT monitoring (Algoverse), multilingual agentic eval (SEACrowd), extension to AnimalHarmBench (ElectricSheep), and multicultural benchmarking (Cohere Labs).

I am applying to research-oriented Master’s in Computer Science, AI, NLP, or related fields for Fall 2026/Spring 2027 and seeking research opportunities (internships, research assistantships, collaborations).

Career highlights

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Latest updates

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CommonLID got accepted to ACL 2026 Main Conference.

Miscellaneous

  • My Vietnamese name is ‘Trà My’, which means Camellia japonica (tea flower).

  • I graduated in May 2025 from Minerva University studying Machine Learning & Statistics, with peers from 50+ countries and living in 6 cities as part of its global immersion program: Seoul (South Korea), Chinese Taipei, Hyderabad (India), Buenos Aires (Argentina), Berlin (Germany). This experience heavily shapes my worldviews and motivates my research focus in diversity and collaboration.

  • Things that restore my energy: walks, reading, cooking, cycling, card reading, and astrology. I also enjoy solo travel, food, cultural activities, and historical museums.

  • Things that excite me outside research: teaching & mentoring, event planning and organizing, languages and cultures, philosophical and politcal discussions.

  • I’m learning Mandarin Chinese (band 4/B1) and French (A2).

  • I’m agnostic, with wonderful friends that are Christian, Buddhist, and Muslim.

  • I’m on no-meat diet at least 4 days/week, and trying to transition to vegetarian diet.

  • I like Rust-based and well-designed stuff. Recommend: Astral’s Python tooling (uv, ruff, ty), Inspect for reproducible LLM eval, LMMs-eval for multimodal eval, Rust-based CLI (ripgrep, eza, bat). My hardware and apps here.