My research focuses on understanding how people make decisions under uncertainty, using computational models and dynamic systems approaches.
Master's Thesis · Radboud University · 2025 – present
Challenging the assumption of risk-taking as a static trait. Developed a computational pipeline using Auxiliary Particle Filters to recover individual trial-by-trial trajectories of latent risk sensitivity.
Research Project Co-Lead · Radboud University · 2024 – 2025
Engineered a continuous joystick-based Approach-Avoidance Task in PsychoPy with millisecond precision to investigate cognitive mechanisms underlying academic anxiety.
Position Paper (Course Project) · Radboud University · 2024
Proposed a predictive coding account to reconcile conflicting evidence on whether naming emotions dampens or intensifies them. Argued that prediction uncertainty is the key mechanism, modulated by label-experience intensity mismatch and labeling freedom.
PDFResearch Project Lead · Sun Yat-sen University · 2022 – 2024
Applied NLP to extract sentiment from 53,000+ crowdfunding texts. Constructed a novel Emotional Co-expression Network framework to quantify structural properties of emotional information.