About
Background, collaborators, and research infrastructure
Chunyu Qu
PhD Student, Neuro-Cognitive Psychology · Ludwig-Maximilians-Universität München (LMU)
chunyu.qu@psy.lmu.de
Funding
CSC Full Scholarship (2025-2029)
Research Focus
Spatio-temporal cognition, Computational neuroscience
Education
PhD in Neuro-Cognitive Psychology
In ProgressLudwig-Maximilians-Universität München (LMU)
10/2025 - Present
CSC Full Scholarship | Supervisor: Prof. Dr. Zhuanghua Shi | Research: Mechanisms of temporal integration and serial dependence
M.Ed. Research on Teaching and Learning
CompletedTechnische Universität München (TUM)
10/2023 - 08/2025
GPA: 1.1/1.0 | Major: Cognitive Psychology, Learning Science, Brain-Computer Interfaces
B.Sc. Psychology
CompletedUniversity of Zhengzhou
09/2019 - 06/2023
GPA: 3.64/4.0 | Focus: Cognitive Psychology & Neuroscience
Experience
PhD Student & Researcher
Ludwig-Maximilians-Universität München (LMU)
10/2025 - Present
Mechanisms of temporal integration and serial dependence in human cognition, combining behavioral modeling and neuroimaging.
Guest Researcher
Max Planck Institute for Biological Intelligence
10/2025 - 09/2026
Analysis and modeling of calcium imaging data and EMG data from mice. Motion correction, ROI segmentation, neuronal activity visualization.
Research Internship - Brain-Computer Interface
Munich Institute of Biomedical Engineering (MIBE), TUM
05/2024 - 11/2024
Hybrid BCI using fNIRS and EEG with visual stimulus experiments in virtual reality environment.
Awards & Recognition
🏆
China Scholarship Council (CSC) PhD Scholarship
09/2025 - 09/2029
4 years full funding, Ministry of Education, China
🏆
TUM International Student Scholarships
2024 - 2025
Summer semester stipend (€1,600 and €1,300 EUR)
🏆
National Inspirational Scholarship
2020 - 2022
3 consecutive years, Top 3%, Henan Province
🏆
Merit Student Award
2020 - 2022
3 consecutive years, Top 10%, University of Zhengzhou
Advisors & Mentors
Prof. Zhuanghua Shi
Primary Advisor · LMU Munich
Time perception, Serial dependence, Bayesian modeling
PD Dr. Afra Wohlschläger
Co-Advisor · TUM-NIC / Klinikum rechts der Isar
fMRI, Dynamic functional connectivity, EEG-fMRI fusion
Key Collaborators
Wenyu Ding
MPI for Brain Research
Mouse calcium imaging
Lihan Chen
Peking University
Time perception, Multi-sensory
Siyi Chen
LMU Munich
BCI, Visual modulation
Technical Skills & Expertise
Behavioral
- ✓Psychophysics
- ✓Time reproduction tasks
- ✓RDK paradigms
- ✓VR experiments
- ✓Eye tracking
Neuroimaging
- ✓fMRI
- ✓EEG
- ✓fNIRS
- ✓Calcium imaging
- ✓EEG-fMRI fusion
Computational
- ✓Bayesian modeling
- ✓Kalman filtering
- ✓RNNs
- ✓Latent dynamics
- ✓Deep learning (CNN/ViT/Diffusion/GCN/KAN)
Engineering
- ✓Python/PyTorch
- ✓C#/Unity
- ✓MCP
- ✓BIDS
- ✓FSL/fMRIPrep
- ✓GPU computing
Research Infrastructure
🔬 Equipment & Facilities
- • Eye tracking (EyeLink 1000)
- • EEG acquisition & analysis
- • fMRI (TUM-NIC, 3T Siemens)
- • fNIRS & Haptic devices
- • BCI/SSVEP setup
- • GPU computing resources
📊 Software & Frameworks
- • PsychoPy (behavioral paradigms)
- • FSL / fMRIPrep (fMRI)
- • MATLAB / Python (analysis)
- • Unity (VR experiments)
- • PyTorch (deep learning)
- • Git / GitHub (version control)
Automation & Integration
Research infrastructure includes automated monitoring and integration:
4h Git Scan
Monitors 26 repositories for commits and changes
Weekly Memory Sync
Syncs project memories from key repositories
Monthly Dependency Audit
Audits Python dependencies across 21 repositories
Claude Code Integration
Automated research workflow and analysis pipelines