Here’s an image of Chun‑Chuan Chen, likely taken during her academic tenure at University College London. Based on publicly available profiles, here’s a concise overview of her background and career:

Background & Education

• Ph.D. in Neuroimaging from University College London (UCL), where she studied within the Wellcome Department of Imaging Neuroscience from September 2005 to September 2009 國防醫學院ResearchGate.

• M.S. in Biomedical Engineering from National Cheng-Kung University (Taiwan) 國防醫學院.

• B.S. in Biomedical Imaging and Radiological Sciences from National Yang-Ming University (Taiwan) 國防醫學院.

Current Position & Expertise

• Presently a Full Professor at National Central University (NCU), in the Graduate Institute of Biomedical Engineering, Taoyuan City, Taiwan 國防醫學院+1ResearchGate.

• Leads the Computational Neuroscience Lab and is also affiliated with the Cognitive Intelligence and Precision Healthcare Research Center ResearchGateNational Central University.

Research Interests

Her expertise spans a broad spectrum of cutting-edge topics, including:

• Neuroengineering and computational neuroscience

• Brain electromagnetic (M/EEG) signal processing

• Virtual Reality (VR) applications in clinical and rehabilitation settings

• Applied artificial intelligence and precision medicine 國防醫學院+1National Central University.

Selected Recent Projects & Publications

Recent years have seen her active in impactful interdisciplinary research. Notable examples include:

Projects (2024–2025)

• Investigating the interplay between skin microbiome and brain cognitive functions

• VR-based interventions for stress and symptom management in breast cancer patients undergoing chemotherapy

• AI-driven multimodal neurophysiological approaches for addiction treatment, especially methamphetamine use disorder National Central University.

Publications Highlights (2019–2023)

• Work on ED‑based neuronal correlates to improve detection of ADHD using EEG signals 國防醫學院+1.

• Use of intelligent VR systems to reveal neuronal abnormalities in methamphetamine use disorder 國防醫學院.

Summary Table

If you’d like more details on her doctoral thesis, publications, or current lab activities, feel free to ask—I’d be happy to dig deeper!

If you’re looking to join Professor Chun‑Chuan Chen’s lab at National Central University—focused on computational neuroscience, neuroengineering, VR applications, EEG/MEG signal processing, AI in medicine, and precision healthcare—here’s a clear breakdown of the key skills and knowledge areas worth developing to increase your chances:

Core Technical Skills & Competencies

1. Signal Processing (EEG/MEG)

• Her work prominently features EEG and MEG electromagnetic signal analysis—developing neuromarkers, detecting ADHD, modeling brain activity under VR conditions, etc.國防醫學院+1National Central University.

• Familiarity with signal preprocessing, artifact removal, feature extraction, time–frequency analyses, and ERP (e.g., P300) detection would be essential.

2. Computational Neuroscience & Data Analysis

• The lab uses computational methods to understand neural correlates, involving multimodal neurophysiological data fusion and modelling.National Central University國防醫學院.

• Be prepared for statistical modelling, neural data analysis, possibly machine learning for classification or prediction tasks (e.g., addiction detection, cognitive function analysis).

3. Programming & Scripting

• While the CV of a different Dr. Chen (Chun‑Chung Chen) lists skills like C++, Python, MATLAB, and HPC toolsccdw.org, it suggests what tends to be broadly relevant in such labs.

• Specifically, familiarize yourself with MATLAB (commonly used in EEG/MEG processing), Python (data handling, ML frameworks), and possibly GPU programming if working with heavy computation tasks.ResearchGateNational Central University.

4. Virtual Reality Integration

• Several of Prof. Chen’s projects involve VR—for both experimental stimuli and therapeutic interventions (e.g., methamphetamine cue induction, breast cancer symptom management)National Central University國防醫學院.

• Skills in developing or managing VR protocols, integrating VR interfaces with neurophysiology systems, or handling synchronized stimulus presentation will help you stand out.

5. Artificial Intelligence & Precision Medicine

• The lab pursues AI-driven, multimodal neurophysiological approaches, particularly tailored for precision addiction treatment and health interventionsNational Central University國防醫學院.

• Competency in machine learning, especially in handling multimodal datasets (EEG data + behavioral/vital signals), could be a major asset.

Interdisciplinary & Soft Skills

While not explicitly listed for Prof. Chen’s group, interdisciplinary approaches are common in such research environments:

• Cross-disciplinary collaboration—comfortable working with peers in engineering, neuroscience, VR, clinical domains.

• Critical thinking and data science literacy—drawing meaningful insights from complex data (a quality emphasized in related labslabspotlight.ntu.edu.tw).

• Independent research mindset—proactive in designing experiments, analyzing data, and interpreting findings.

Summary Table

Actionable Next Steps

1. Gain hands-on experience:

   • Work in a neuroimaging or EEG/MEG lab.

   • Take courses or complete projects using MATLAB and Python for neural signal processing.

   • Explore ML pipelines tailored to physiological data.

2. Experiment with VR tools:

   • Learn basic Unity or similar platforms to design VR stimuli or neurofeedback environments.

3. Engage in interdisciplinary research:

   • Collaborate across fields (e.g., engineering, healthcare) or join cross-disciplinary workshops or hackathons.

4. Build a focused project or portfolio:

   • For example, analyze a publicly available EEG dataset, apply ML classification, or demonstrate a basic VR interface with physiological input.

If you’d like, I can help you find specific courses, online resources, or beginner projects in any of these areas—just let me know which skill interests you most!