I was born in 1997, and I am a PhD student at DCU. I worked 5 years in Vietnam in many aspects before joining this PhD program.

Data modelling for human behaviour and SRE for a stable big system

AI for education data modelling human behaviour

AI Research Scientist and Engineer with 4+ years of experience researching practical AI solutions for service-oriented platforms. Skilled in researching AI innovations, building, and optimizing AI systems and workflow. PhD Student at Trinity College of Dublin about "Language3D: Creating Editable 3D Content from Deep Language Understanding for 3D-First Digital Platforms" led by Dr. Binh-Son Hua.

My main research interests are in Generative AI (Diffusion models and Auto-regressive models) and (text/image) to 3D content generation (Score Distillation), specifically in developing language-driven techniques to make 3D creation more intuitive, accessible, and widely applicable.

3D Content Generation

Hellooooo. Ex-English teacher turned data tinkerer is here. I explore urban trends with Python, build interactive maps, and use AI to turn numbers into stories. Always curious and experimenting.

I’m interested in exploring how AI and data science can solve real-world problems through hands-on projects. My focus lies in natural language processing, predictive modelling, and geospatial data analysis, using tools like Python and R. I enjoy creating interactive visualisations and apps that make complex data easy to understand and actionable.

I'm currently working on a data storytelling project that maps Dublin housing prices against education levels and amenities. I'm exploring ways to make public data more accessible and interactive, especially for people unfamiliar with data dashboards. I'm also experimenting with LLMs to generate plain-language insights from data, kind of like an AI-powered assistant for housing data interpretation.

I build lightweight, experimental models to explore how AI can enhance diagnostic workflows, optimize lab automation, and accelerate biomedical research. My projects range from prototyping image classifiers for rare cell types to developing GPT-powered assistants for clinical literature review. I’m especially interested in ethical, interpretable AI for health applications, and often work at the intersection of open-source tools, biology, and data science. Currently experimenting with federated learning and synthetic data generation to improve model robustness without compromising patient privacy.

I’m currently looking to deepen my understanding and hands-on skills in the following areas: • Multimodal Learning for Precision Medicine: I’m particularly interested in integrating imaging, genomics, and EHR data using deep learning to uncover complex disease patterns. I’d love to connect with experts working on multimodal model architectures or representation learning in healthcare.

I’m currently developing SmartSage, a lightweight, modular AI assistant designed to intelligently assist with context-sensitive micro-tasks across platforms. Unlike traditional voice assistants, SmartSage focuses on hyper-personalization and ambient intelligence, enabling it to offer real-time help with things like code refactoring, task summarization, email drafting, and even suggesting break times based on user behavior.