Hello 👋


Welcome to my personal website!
Explore my projects, research, and publications below.

Hi! I'm Zhiruo Zhang(you can also call me Zoey), a Master’s graduate in Informatics from the University of Zurich, specializing in Data Science. I began my journey with a Bachelor’s in Software Engineering, exploring NLP research through my thesis, and later deepened my expertise with advanced courses and projects during my Master’s studies.

During my Master’s, I conducted research in Knowledge Graph Question Answering (KGQA) as part of my thesis and then worked as a Research Assistant. Beyond academia, I joined Iris.ai, where I quickly proposed and prototyped the GraphRAG project, demonstrating initiative, research-to-application skills, and the ability to address real-world problems in industrial settings.

Research Interests: Exploring AI methods, especially large language models (LLMs) and reasoning techniques, to enhance human creative and cognitive tasks. Interested in designing secure, reliable, interpretable systems and developing methods for evaluation, auditing, and responsible AI deployment, bridging theoretical advances with practical applications such as education, human-AI collaboration, and emerging domains like Web3.

Skills:
Programming Languages: Python, Java, SQL
Frameworks & Libraries: PyTorch, Django, FastAPI, React Native, Next.js
Databases & Knowledge Systems: PostgreSQL, Neo4j
Tools & Platforms: Linux, Docker, Git, Autogen
Research & AI Skills: NLP, KG, LLMs, RAG, Prompt Engineering

Selected Publications:

  • NLQxform: A Language Model-based Question to SPARQL Transformer — ISWC 2023 Workshop Paper
    PDF | Code
  • NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering System — SIGIR 2025 Demo Paper
    PDF | Code

If my research background and interests align with your group, I would be delighted to discuss potential PhD opportunities. Please feel free to contact me at zoeyzhang522@gmail.com. To find out more about me and my work, please check my Projects, Publications and About pages.