# Chaeyeon Kim

**Research Assistant** — United States

> Computer Science student at University at Buffalo focusing on brain-computer interfaces and EEG signal processing, with experience in data analysis and full-stack development.

Career Archetype: **All-Terrain Artisan** (HB-MX) — One of the first All-Terrain Artisans on Saywise

## Links

- LinkedIn: https://linkedin.com/in/chaeyeon-kim01
- GitHub: https://github.com/Chaeyeon-Kim01

## Experience

### Neuropoly (UB Hackathon 2025), University at Buffalo (2025-11 – 2025-11)
University at Buffalo, New York, United States · • Developed a non-invasive BCI system enabling gameplay using only EEG signals • Implemented live data acquisition with OpenBCI Ganglion and BrainFlow • Designed signal processing pipeline: band-pass filtering, FFT, CCA frequency detection • Built Python-based integration for real-time neural intent recognition • Created attention-based input system without eye tracking or physical controllers • Demonstrated accessibility-focused gameplay for users with mobility impairments • Collaborated with a multidisciplinary team from CS, EE, and neuroscience

### Research Assistant, University at Buffalo, Department of Computer Science & Engineering / ESC Group (2025-09 – present)
Buffalo, NY · Co-authoring a PRISMA-ScR systematic review on non-invasive brain-computer interfaces, unifying speech-decoding and auditory-modulating research. Contributing to the NeurIPS 2025 EEG Foundation Challenge by developing and benchmarking models using the Braindecode framework.

### Teaching Intern, UB Data Science & Machine Learning Club (2025-09 – 2025-12)
University at Buffalo, NY · • Facilitate weekly workshops on Python, data analysis (Pandas, NumPy), and foundational machine learning concepts. • Teach supervised/unsupervised learning, model evaluation, and practical ML workflows using scikit-learn. • Mentor students through hands-on projects, including exploratory data analysis, feature engineering, and training ML classifiers. • Develop learning materials, coding templates, and interactive demos to support 100+ students across beginner and intermediate sessions. • Drive a collaborative learning environment by helping participants debug code, understand algorithms, and build portfolio-ready projects.

### Data Analyst Freelancer, Chartmetric (2024-07 – 2025-07)
Remote · Automated keyword extraction and SQL debugging for music analytics dashboards, improving query accuracy by 30% and reducing execution time by 25%. Collaborated with AI engineers on chart intelligence and resolved data mismatches in ClickHouse pipelines. Designed scalable workflows to match songwriter metadata across AllMusic, MLC, and Spotify.

### Business Operator Intern, BFactory (2024-01 – 2024-07)
Seoul, South Korea · Built multilingual Ameli websites in Korean, Japanese, and English. Analyzed ad performance using GA4 and Google Ads to optimize campaign effectiveness.

## Education

### Computer Science, University at Buffalo (2024-09 – 2027-06)
GPA: 3.93/4.0

## Projects

### Neuropoly
EEG-controlled online monopoly-style game · Developed a real-time EEG-controlled game using OpenBCI Ganglion signals. Built preprocessing and classification pipeline to enable attention-based game interactions. Coordinated demo strategy, documentation, and debugging within 24 hours.

### Brain Tumor Classifier
Deep learning model for MRI classification · Built a CNN model to classify brain tumor MRI images across multiple categories. Preprocessed dataset with normalization, augmentation, and stratified splits. Optimized performance through hyperparameter tuning.

## Skills

Pandas (Software), Machine Learning, NumPy, Scikit-Learn, Neuroengineering, Research Skills, Electromyography (EMG), BrainFlow, MNE-Python, EEG Signal Processing, SSVEP, Brain-computer Interfaces, Neurotechnology, Python (Programming Language), SQL, C++, Data Analysis, Full-Stack Development, International Business Strategy, Front-End Development, Digital Marketing, Search Engine Optimization (SEO), Advertising Planning, Customer Segmentation Strategy, TensorFlow, Keras, ClickHouse, OpenBCI, Braindecode, deep learning, GA4, Google Ads, web development

## Credentials

- **Google AI Essentials** — Google (issued 2024-07)
- **ChatGPT Advanced Data Analysis** — Vanderbilt University (issued 2024-02)

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Source: https://saywise.com/member5820 (last modified 2026-10-06T18:54:53.638Z)