I am an MSc student in Virtual Reality and Augmented Reality at Lund University, with a background in Information Science and Engineering.

My interests sit at the intersection of extended reality, human perception, multimodal AI, and interactive systems. I am particularly interested in how intelligent systems can understand human behaviour, perception, and physical context, and use that understanding to support more natural interaction between people, digital information, and the physical world.

I am interested in how interaction changes when interfaces move beyond traditional 2D screens and become embedded in physical and virtual space.

• Virtual Reality and Augmented Reality
• Spatial user interfaces
• Mixed Reality and passthrough interaction
• Hand, gaze, and controller-based interaction
• Context-aware spatial interfaces
• Interaction design for immersive systems

Immersive systems depend not only on rendering and hardware performance, but also on how people perceive and process visual information.

• Visual comfort in head-mounted displays
• Vergence–accommodation conflict
• Depth perception and visual attention
• Cognitive load in immersive interfaces
• Quality of Experience (QoE)
• Human factors in XR

I am interested in AI systems designed around human needs, behaviour, and decision-making rather than AI as an isolated technical component.

• Human-AI interaction
• Vision-language models
• Multimodal interaction
• AI-assisted decision making
• Trust, uncertainty, and human agency
• AI for accessibility

Computer vision provides an important bridge between intelligent systems and the physical world.

• Image processing and enhancement
• Visual recognition
• Motion and sensor data
• Human-centred computer vision
• Real-time visual systems
• Computer graphics and visual perception

A question that connects much of what I am exploring is:

How can intelligent systems better understand human perception and physical context to support natural spatial interaction?

I think about this through three connected layers:

Human Perception → Intelligent Systems → Spatial Interfaces

Rather than focusing only on individual models or technologies, I am interested in complete interactive systems where sensing, perception, computation, and interaction work together.

Current questions I am exploring include how spatial interfaces can present complex information without increasing cognitive load, how XR systems can account for perceptual limitations, how multimodal AI can handle imperfect real-world inputs, and how intelligent systems can support human decisions without removing human agency.

Programming
Python · C++ · C# · Java · MATLAB · SQL

XR & Spatial Computing
Unity · OpenXR · XR Interaction Toolkit · Meta XR · AR Foundation · ARKit

AI & Computer Vision
PyTorch · OpenCV · Vision-Language Models · Image Processing · Multimodal AI

Design & Visual Computing
Figma · Blender · Computer Graphics · Shader Programming

Research & Analysis
Experimental Design · Usability Testing · Quantitative Analysis · Qualitative Analysis

Lund University
MSc in Virtual Reality and Augmented Reality · Sweden · 2025–Present

Ritsumeikan University
BEng in Information Science and Engineering · Japan · 2021–2025

Chinese · Native
Japanese · JLPT N1
English · Professional working proficiency

I am open to research and technical opportunities in XR, spatial computing, human-computer interaction, multimodal AI, computer vision, and human-centered intelligent systems.