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Undergraduate Researcher in Computer Engineering
Computational Neuroscience · Learning and Decision-Making · Computational Psychiatry
I am an undergraduate researcher in Computer Engineering interested in computational neuroscience, brain network modeling, human learning and decision-making, and computational psychiatry.
My experiences with variations in attention, arousal, and learning efficiency led me to ask why the same person may process information differently across internal states and why individuals can show different cognitive and behavioral patterns. I hope to study these questions using computational models, behavioral data, and neural data, while treating personal experience as a source of research questions rather than scientific evidence.
- Computational neuroscience
- Brain network modeling
- Neural and behavioral data analysis
- Human learning, generalization, and decision-making
- Computational psychiatry
I am currently an undergraduate researcher in the Brain–AI Interface Lab at Baekseok University. My current activities include:
- Reviewing papers in computational neuroscience and neural data analysis
- Participating in journal discussions
- Learning foundational workflows for neural data preprocessing
- Contributing to early-stage research-question development and analysis-environment setup
I am particularly interested in understanding:
- How attention and arousal influence learning, inference, and decision-making
- How the brain integrates sensory evidence with prior knowledge
- How learning and generalization emerge from interactions across brain networks
- How changes in neural computation may lead to behavioral differences and psychiatric symptoms
- How computational models can explain both within-person variability and individual differences
A machine-learning pipeline for classifying short-term attention levels of approximately 82,000 arXiv computer-science papers. The project emphasizes temporal validation, data-leakage control, and analysis of model dependence on subject-category features.
A CNN-based pill-image classification pipeline linked to ingredient and contraindication databases for rule-based drug–drug interaction checking.
An MLP-based bus-arrival prediction project integrating operational, traffic, weather, and cyclic temporal features, with a focus on aligning independently collected data sources.
An API server and Android application for processing notifications and forwarding them to KakaoTalk.
A responsive research portfolio website developed with HTML, CSS, and JavaScript, with automated GitHub project synchronization through the GraphQL API.
Additional project experience includes MATLAB, Julia, Rust, Go, JavaScript, and Node.js.
- Brain computational modeling
- Brain imaging analysis
- Probabilistic modeling
- Reinforcement learning and decision-making
- Mathematical modeling of neural and cognitive processes
- Website: junho.art
- Email: junho@junho.art
- ORCID: 0009-0004-8594-9000