Nhu Vo  /  About

NLP researcher, lecturer and AI engineer

I am Nhu Vo, a PhD student in Computer Science (Collaborative Research Degree, University of Technology Sydney & VinUniversity) and a Research Assistant in NLP and LLMs. My research focuses on NLP and LLMs for biomedical and low-resource machine translation, and on the datasets and evaluation that make these systems reliable.

Nhu Vo portrait
Nhu VoPhD student in Computer Science — University of Technology Sydney & VinUniversity

Education

Scholarships

  • 2025
    Vingroup Science and Technology Scholarship for Overseas Doctoral Study
  • 2025
    UTS Collaborative Research Degree Program Scholarship
  • 2023
    VinUniversity Full PhD Scholarship in Computer Science
  • 2021
    VNU-HCM Postgraduate Scholarship
Skills

Skills and tools

NLP & LLMs
Natural Language Processing (NLP) · Large Language Models (LLMs) · Neural Machine Translation (NMT) · Named Entity Recognition (NER) · Cross-lingual transfer · Information extraction · Speech recognition (ASR) · Biomedical / clinical NLP · Low-resource & multilingual NLP
LLM applications & agents
Retrieval-Augmented Generation (RAG) · Embeddings & vector search (pgvector) · Multi-agent orchestration · Model Context Protocol (MCP) · Prompt engineering · LLM evaluation & guardrails · Human-in-the-loop · LangChain · LangGraph (applied) · LangSmith tracing
Models & data
Python · PyTorch · Hugging Face Transformers · LLM / NMT fine-tuning · Supervised fine-tuning (SFT) · LoRA / PEFT · Preference optimization (DPO) · Dataset & corpus construction · Annotation design (Label Studio) · Inter-annotator agreement · Benchmark design · BLEU · WER evaluation
Engineering
TypeScript · SQL · PostgreSQL · REST APIs · Docker · AWS · Next.js · React · Git
AI-assisted development
Claude Code · Codex · Cursor · Antigravity · VS Code · Orca (parallel coding agents) · Spec-first, test-gated code review
Teaching & e-learning
Course & curriculum design · Teaching in English · Thesis supervision · Moodle · Canvas · Google Classroom · Articulate Storyline 360 · SCORM
Languages
Vietnamese · English
Timeline

Experience and education

researchteachingeducation

2025–present

Research Assistant – NLP & LLMs

University of Technology Sydney

research
2023–present

PhD, Computer Science (Collaborative Research Degree)

VinUniversity (from 2023) & University of Technology Sydney (from 2025)

NLP and LLMs for biomedical and low-resource MT.

education
2023–present

Research Assistant & Project Coordinator

College of Engineering & Computer Science, VinUniversity

Coordinates Robust Vietnamese–English Clinical and Educational Medical Translation.

research
2022–present

Project Manager

Smart Green Transformation Center (GREEN-X), VinUniversity

Corpus projects on business speeches, anti-corruption discourse and the EV shift; M&E system for green transformation in Khanh Hoa.

research
2023–2025

Teaching Assistant; Visiting Faculty (2024–2025)

College of Engineering & Computer Science; College of Business and Management, VinUniversity

teaching
2022–2023teaching
2021–2023

Visiting Lecturer

Faculty of Information Technology, Ho Chi Minh City University of Economics and Finance (UEF)

teaching
2021–2022

Lecturer

Department of English Teaching Methodology, Faculty of Foreign Languages, Nguyen Tat Thanh University (NTTU)

Led the ViLEC learner corpus project.

teaching
2020–2021teaching
2019–2020

Researcher

Computational Linguistics Center, University of Science, Vietnam National University Ho Chi Minh City (VNU-HCMUS)

Vietnamese corpus construction; led VnC 1.0 (100M words).

research
2018–2020

MSc, Computer Science

University of Science, Vietnam National University Ho Chi Minh City (VNU-HCMUS)

Thesis: Vietnamese Text Corpus Mining, graded 10/10.

education
2017–2020

Lecturer (Team Leader from 2019)

Information Technology Center, Ho Chi Minh City University of Education (HCMUE)

E-learning delivery, online courses, and teacher training.

teaching
2013–2017

BEd, Computer Science Teacher Education

Ho Chi Minh City University of Education (HCMUE)

Thesis graded 9.5/10.

education