CV

Visiting Student Researcher

Stanford University

Working on generative models and probabilistic machine learning at STAIR Lab, advised by Prof. Sanmi Koyejo and mentored by Sang T. Truong.

• Generative Models
• Probabilistic Machine Learning

Teaching Assistant

Ho Chi Minh City University of Technology (HCMUT) - Vietnam National University HCMC

Assisted in teaching undergraduate courses on Introduction to Computing, Programming Fundamentals, Data Structures and Algorithms, and Mathematical Modeling. Responsibilities included conducting lab sessions, grading assignments, and providing support to students.

• Introduction to Computing
• Programming Fundamentals
• Data Structures and Algorithms
• Mathematical Modeling

Research Assistant

URA Lab, HCMUT

Developed Vietnamese Large Language Models (URA-LLaMa, MixSUra, GemSUra). Conducted research on graph neural networks for drug discovery and subgraph matching. Worked on neural machine translation for low-resource languages (Bahnaric).

• Vietnamese LLMs
• Graph Neural Networks
• Drug Discovery
• Neural Machine Translation

Doctor of Philosophy

National University of Singapore (NUS)

Computer Science

• Generative Models
• Graph Representation Learning
• Probabilistic Machine Learning

Master of Engineering

Ho Chi Minh City University of Technology (HCMUT), VNU-HCM

Computer Science

• Explainable Neural Subgraph Matching
• Graph Neural Networks

Bachelor of Engineering

Ho Chi Minh City University of Technology (HCMUT), VNU-HCM

Computer Science

• Drug-Target Interaction Prediction
• Graph Neural Networks

Microsoft Accelerate Foundation Models Research (AMFR)

Microsoft Research

Selected to receive funding for foundation research on Vietnamese Large Language Models.

Best Paper Award

NICS Conference

Awarded for research on COVID-19 Drug-Target Interaction Prediction.

Master's Scholarship

Vingroup Innovation Foundation (VinIF)

1-year scholarship for Master's studies in Computer Science.

Certificate of Merit - IT & AI Research

HCMC Department of Information and Communication

Awarded for outstanding achievements in Information Technology and Artificial Intelligence research.

First Prize in Biomedical Category

Euréka Student Scientific Research Award

Recognition for outstanding research about COVID-19 forecasting in biomedical.

Merit Award - First Prize in Biomedical Category

Ministry of Information and Communications

Awarded for First Prize in Biomedical Category at Euréka Student Scientific Research Award.

Typical Student Certificate

BK Youth Award

Recognized as an outstanding student at HCMUT.

Certificate of Merit - AI Research

HCMC Department of Information and Communication

Awarded for excellent achievements in Artificial Intelligence research.

Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings

ICLR 2025 Workshop: Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation

Research on advanced Bayesian optimization methods for dynamic cost settings.

Explainable Neural Subgraph Matching With Learnable Multi-Hop Attention

IEEE Access

Novel approach to explainable neural subgraph matching using learnable multi-hop attention mechanisms.

Crossing Linguistic Horizons: Finetuning and Evaluation of Vietnamese Large Language Models

NAACL 2024

Comprehensive study on finetuning and evaluation of Vietnamese Large Language Models.

Towards De Novo Drug Design for the Coronavirus: A Drug-Target Interaction Prediction Approach using Atom-enhanced Graph Neural Network with Multi-hop Gating Mechanism

NICS 2022

Award-winning research on drug-target interaction prediction for coronavirus drug design.

BeCaked: An Explainable Artificial Intelligence Model for COVID-19 Forecasting

Scientific Reports (Nature Portfolio)

Explainable AI model for COVID-19 case forecasting with interpretable predictions.

Probabilistic Pedagogy for Accelerated Learning

Developed a computational framework for simulating interactive teaching scenarios between a teacher and a student. The framework models both rational and naive students and supports multiple teaching and learning strategies to study effective pedagogical approaches.

• Interactive teacher–student simulation
• Rational and naive student models
• Probabilistic teaching strategies
• Learning strategy evaluation

Automatically Evolving Multi-agent Deep Research System

Developed an autonomous, evolving multi-agent system for deep research pipelines. The system generates research questions, conducts literature-style analysis, evaluates reports, and continuously improves itself through iterative feedback and fine-tuning.

• Multi-agent research automation
• Autonomous question generation
• Deep research and report evaluation
• Model-agnostic LLM integration
• Continuous self-improvement

Vietnamese Large Language Models

Developed URA-LLaMa, MixSUra, and GemSUra - a family of Vietnamese Large Language Models with 7B, 13B, and 70B parameters.

• URA-LLaMa
• MixSUra
• GemSUra
• Microsoft AMFR Funding

Neural Subgraph Matching

Research on explainable and efficient neural subgraph matching methods with applications in drug discovery.

• xNeuSM
• Dual Matching Networks
• Drug Design Applications

BeCaked - COVID-19 Forecasting

Developed an explainable AI model for COVID-19 case forecasting, published in Scientific Reports.

• Explainable AI
• Time Series Forecasting
• COVID-19