- NLP / NLG / LLMs
- Dialogue System
- LLMs Alignment-Evaluation
- User Interfaces
- Cognition-Physiology
PhD in NLP-HCI-Psychology
University of Amsterdam, the Netherlands
MSc in Optimization and AI (NLP)
Heidelberg University, Germany
BSc in Computational Mathematics
XiDian University, China
Trustworthy LLM behavior
Building LLM systems that align with expert strategies, domain needs, and sensitive interaction goals.
Interfaces that shape trust
Examining how text, voice, embodiment, and interaction framing change user confidence and interpretation.
Human-centered measurement
Using behavioral and physiological sensing to study how people perceive, rely on, and question AI output.
I work at the intersection of natural language generation, human-computer interaction, and cognitive psychology. The goal is to make large language models not only technically strong, but also perceptually clear, socially appropriate, and usable in high-stakes settings such as psychotherapy and health support.
My current direction focuses on adaptive LLM systems that respond to human behavior and multimodal signals, while also uncovering how trust emerges through both model behavior and interface design.
A full paper and a poster were accepted to CHI 2026 in Barcelona.
New work was accepted by IJHCS and CSCW 2026.
A VR and AI project was selected for first-round incubation funding from the Wellcome Trust AI Accelerator.
A full paper and an LBW contribution were accepted to CHI 2025 in Yokohama.
Ongoing publications and presentations across COLING, CSCW, ICMI, and leading HCI venues.