Qinting Wan

About

About me

I’m Qinting Wan, currently studying Artificial Intelligence at UNSW. My interests are centered around large language models, agentic AI, AI for Science, and medical AI, particularly where intelligent systems can help reason over complex information and address meaningful scientific or healthcare problems.

I’m developing my technical and research practice through projects, paper reading, experiments, and independent study. I’m interested not only in how AI systems are built, but in how they can become more capable, reliable, and useful in real-world settings.

This site is a record of that process — what I’m learning, what I’m building, and the questions I’m still exploring.

Research

Research interests

I’m interested in intelligent systems that can reason over complex information, use tools, and support scientific or clinical work. My current interests overlap rather than sit in separate boxes.

01

LLMs & agentic AI

Reasoning, tool use, multi-step workflows, evaluation, and the reliability of systems that act rather than only respond.

02

AI for Science

How AI can help navigate scientific literature, formulate questions, connect evidence, and support experimentation or discovery.

03

Medical AI

AI systems for clinically meaningful problems, with particular attention to usefulness, evidence, reliability, and real-world constraints.

I’m currently building toward these directions through paper reading, reproductions, small experiments, and project work rather than treating any one topic as a finished specialization.

Projects

Selected projects

In development

TaskSnip

A minimal browser extension for turning useful parts of AI conversations into focused workspaces: select a passage, save it in one click, organize it, and export it cleanly.

Ongoing

Generative Personal Site

This website. Visitors place eight points, which become a closed, layered geometric structure. The generated drawing then follows them into the site as a quiet visual trace of the interaction.

Notes

Notes & fragments

I use this space for material that is useful before it becomes polished: paper notes, build logs, technical observations, visual experiments, and questions I want to return to.

01Paper notes

Ideas, methods, and questions pulled from what I’m reading.

02Build logs

Small records of what worked, what failed, and what changed while building.

03Open questions

Things I don’t yet have a clean answer to, but want to keep visible.