About

I'm Quy-Anh Dang, a Researcher and Data Scientist with a strong background in mathematics and computer science. I specialize in developing AI solutions, particularly in AI Safety (red teaming, alignment), Efficient ML (model merging, efficient training), and Speech Processing.

View Resume (PDF)

Education

Master of Science in Data Science

VNU University of Science · 2023 - 2025 · GPA: 3.95 / 4.0

Bachelor of Science in Applied Mathematics and Computer Science

VNU University of Science · 2019 - 2023 · GPA: 3.71 / 4.0

Work Experience

Researcher · Knovel Engineering

Jan 2024 - Present · Full-time Remote - Singapore

Core research team member developing DeepAssure, an AI governance and trustworthy AI platform
As part of AI Verify Foundation, led data curation for Singapore Police Force's AI chatbot. Published assurance report
Designed production-ready RAG infrastructure for RySense, Singapore's leading social research organization
Conduct research on LLM safety, red teaming, and alignment techniques
Build document processing pipelines with GPT-4/LlamaIndex, train 7B LLMs, and develop speech processing models

Full-Stack Data Scientist · Wingsmob Studio

Jun 2023 - Sep 2024 · Hanoi, Vietnam

Built automated ETL pipelines (Adjust API → S3 → BigQuery) processing 10M+ daily events
Created Power BI dashboards reducing user dropout rates by 50%
Deployed ROAS prediction model with <5% error, improving campaign ROI by 30%

Publications

Polyglot-Lion: Efficient Multilingual ASR for Singapore via Balanced Fine-Tuning of Qwen3-ASR

Quy-Anh Dang, Chris Ngo

Multilinguality in the Era of Large Language Models (MeLLM 2026) @ ACL 2026 · 2026

Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection

Quy-Anh Dang, Chris Ngo

Findings of the Association for Computational Linguistics: ACL 2026 · 2026

RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models

Quy-Anh Dang, Chris Ngo, Truong-Son Hy

Principled Design for Trustworthy AI: Interpretability, Robustness, and Safety across Modalities @ ICLR 2026 · 2026

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t

Quy-Anh Dang, Chris Ngo

Logical and Symbolic Reasoning in Language Models @ AAAI 2026 · 2026

View All Publications →

Projects

Open-RS: Enhancing Reasoning in Small LLMs with Reinforcement Learning

An open-source project exploring reinforcement learning techniques to boost reasoning capabilities in small large language models.

Homemade Machine Learning: A Hands-On Journey into ML Algorithms

An educational project featuring Jupyter notebooks to implement and understand machine learning algorithms from scratch.

VITS-Japanese: Text-to-Speech for Japanese

An implementation of VITS for Japanese text-to-speech, enabling single-stage training and parallel sampling.

View All Projects →

Teaching Experience

CS660/CS760 Artificial Intelligence Fall 2024, The University of Alabama at Birmingham
Generative AI 2024 (K2, K3), DataScience.Kan
Machine Learning Operations 2023, DataScience.Kan
Machine Learning Hands-on 2022, DataScience.Kan
Math for Machine Learning 2022, DataScience.Kan
Data Structures and Algorithms 2022, VNU University of Science

Skills & Expertise

Programming & Frameworks: Python, PyTorch, TensorFlow, PySpark, Scikit-learn, Keras, SQL

Machine Learning: Deep Learning, Transformers, Classical ML, Feature Engineering, Fine-tuning (QLoRA, LoRA)

AI & NLP: Large Language Models, RAG Systems, LlamaIndex, Prompt Engineering, GPT-4, LLaMA

MLOps & Tools: Weights & Biases, MLflow, TrueLens, Docker, FastAPI, Git, Linux

Data Engineering: Apache Spark, ETL Pipelines, BigQuery, Cloud Functions, Data Warehousing

Data Visualization: Power BI, Tableau, Google Data Studio, Plotly

Mathematics: Statistics, Linear Algebra, Optimization, Probability Theory

Language Proficiencies

VietnameseNative proficiency

EnglishProfessional working proficiency — reading technical papers, writing documentation, effective communication

Achievements

Winter Mathematic Camp 2025 - National University of Singapore Scholarship
Top 3 (4090 Track) and Top 8 (A100 Track), NeurIPS LLM 2023 Competition
Top 6 finalist, International Data Analysis Olympiad 2022
First prize at university-level conference for student scientific research, 2023
Outstanding Academic Achievement Award: 2020-2023

Certificates

Data Science Track, Developer Circles from Facebook
Data Science Career Path, Codecademy
Coursera: Machine Learning Specialization
Coursera: Deep Learning Specialization
Coursera: GANs Specialization
Coursera: NLP Specialization
Coursera: Machine Learning Engineering for Production (MLOps)

Contact

Feel free to reach out for collaborations or research opportunities — quyanh.dang@knoveleng.com