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, impacts of AI on humans and more-than-human world.

Ongoing work: CoT monitoring (Algoverse), AnimalHarmBench 2.0 extension (ElectricSheep), and cultural benchmarking (Cohere Labs).

I am applying to research-oriented Master’s in Computer Science, AI, NLP, or related fields for Spring 2027 and seeking research opportunities (internships, research assistantships, collaborations). For research collaborations, drop me an email!

Career highlights

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Latest updates

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CommonLID got accepted to ACL 2026 Main Conference.

Selected publications

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SEATauBench: Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages

My Chiffon Nguyen*, Aulia Adila*, Saksorn Ruangtanusak*, Kittiphat Leesombatwathana*, Vissuta Gunawan Lim*, Patomporn Payoungkhamdee, Samuel Cahyawijaya,
In Submission, Pending Preprint 2026
Abstract
We introduce SEATauBench, the first agentic-focused evaluation framework for sovereign AI development in Southeast Asia, a region of strategic importance with over 700 million people. Despite growing regional evaluation efforts, existing multilingual agents show limited capability when operating in SEA languages, particularly in mixed-language scenarios. Through evaluation across multiple adaptation approaches, we find that while English agentic capabilities transfer to target language responses, performance degrades significantly when context is provided in SEA languages. We propose a translation-based mitigation strategy that preserves entity consistency while enabling agents to leverage English comprehension. SEATauBench establishes a rigorous benchmark for sovereign AI agent assessment, providing diagnostic tools to address capability gaps and support agentic AI development in diverse linguistic communities in the region.

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 political 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.