PhD Researcher · Cognitive Neuroscience · Language Development
Shaoqi Pan
I study how the developing brain encodes speech and how neural, behavioral, and computational signals can help forecast later language outcomes.
Research Themes
Neural speech encoding, development, and prediction
About
Academic Profile
Shaoqi Pan is a PhD student in Psychology at The Chinese University of Hong Kong. His work sits at the intersection of cognitive neuroscience, developmental psychology, language learning, and computational modeling, with a current focus on neural speech encoding as a predictor of early language outcomes.
Before beginning doctoral training, he completed an MA in Linguistics at CUHK, ranking first in his class, and worked as a research assistant at the Brain and Mind Institute. His earlier training in telecommunication engineering at Shantou University provides a quantitative foundation for signal processing, machine learning, and data-driven approaches to human language and cognition.
Methods & Skills
Languages
Research
Projects
Selected work from doctoral training, research assistantship, and earlier engineering research.
Publications
Manuscripts & Abstracts
Peer-reviewed publication, manuscript, and conference abstracts organized for quick scanning.
Resources
Research Materials
A place for reusable analysis materials, notebooks, and methodological resources.
Featured Resource
Machine Learning Prediction Pipeline
A notebook-based workflow for building and evaluating predictive models in a research setting. The pipeline is especially relevant for projects that combine behavioral or neural measures with classification and regression models.
The resource is intended for researchers who need a readable, reproducible starting point for prediction analyses, including model comparison, validation, and data documentation.
Random Forest
SVM / SVR
Prediction
Notebook
Awards
Honors
CV
Curriculum Vitae
The full CV is available as the original Word document. The website presents a concise summary of education, research, publications, skills, and awards for browsing.
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Academic Contact
For research correspondence, collaboration, or questions about the materials on this site, please get in touch by email.