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softstat/README.md

👋 Hello, I'm MinSeok Kim

📊 Statistical Data Scientist | Biostatistics & Survival Analysis Researcher

My Homepage : https://softstat.github.io

🎓 Education

  • M.S. in Statistics and Data Science, Chung-Ang University (2024.03 - 2026.02)
    • Full CAU Graduate Scholarship
    • GPA : 4.35 / 4.5
  • B.S. in Applied Statistics, Chung-Ang University (2018.03 - 2024.02)
    • GPA : 3.93 / 4.5

🔍 Research Interests

"데이터를 통해 생명과 사회의 인과관계를 증명합니다."

  • Survival Analysis: 고도화된 생존 시간 모델링 및 GAT 기반 예측
  • Biostatistics: 의료 임상 데이터 및 센서 기반 보행 분석
  • Causal Inference: Target Trial Emulation을 활용한 인과 추론

🛠️ Tech Stack

Languages & Analysis Tools

Data & DevOps

📝 Academic Papers

📄 Published / Accepted (Click to expand)
  1. [Nature Scientific Reports] Stroke walking and balance characteristics via PCA
  2. [Nature Scientific Reports] Standing balance test predicts the BBS score in patients with stroke
  3. [Accepted] Comparison of Overall Survival After Open vs. Robot-Assisted Radical Cystectomy: A Target Trial Emulation
✍️ In Progress / Master's Thesis
  • [Master's Thesis] Graph Attention Neural Networks for Survival Analysis of Default in Peer-to-Peer Lending
  • [Preparing] Oncological Outcomes of RARC: A Real-World Cohort Study Using Cloning Approach
  • [Preparing] Machine Learning for Gait Data: Improved Classification Using Multivariate Functional PCA combined with square root velocity framework

🚀 Key Projects

Period Project Title Role/Focus
'23.07 - '24.01 국립재활원: 중추신경계 환자의 낙상예방을 위한 멀티센서 기반 인공지능 알고리즘 활용 및 중재연구 PCA 기반 보행 능력 평가 모델링
'23.11 - '23.12 감기 환자수 예측 및 분류 머신러닝 기반 시계열 예측
'22.10 - '22.12 무선충전 고속도로 입지 분석 권역별 클러스터링 활용
'22.08 - '22.10 2022 빅콘테스트: 대출신청 예측 분류 모델링 및 피처 엔지니어링

🏆 Certifications & Others

  • Data & Analysis: ADsP, SQLD, 빅데이터분석기사, 사회조사분석사 2급
  • Others: 한국사능력검정시험 1급, 컴퓨터활용능력 1급
  • Leadership: 제35대 응용통계학과 학생회장 (2022.12 - 2023.11)

Pinned Loading

  1. NRC-Gait-Analysis NRC-Gait-Analysis Public template

    중추신경계 환자의 낙상예방을 위한 멀티센서 기반 인공지능 알고리즘 활용

    Jupyter Notebook

  2. Modeling-for-Flood-Prediction-From-Classical-ML-to-Tabular-Transformers Modeling-for-Flood-Prediction-From-Classical-ML-to-Tabular-Transformers Public

    홍수 예측을 위한 다양한 머신러닝 및 딥러닝 접근법을 비교 분석한 프로젝트

    Jupyter Notebook

  3. softstat.github.io softstat.github.io Public template

    Forked from alshedivat/al-folio

    A beautiful, simple, clean, and responsive Jekyll theme for academics

    HTML

  4. Target-trial-emulation Target-trial-emulation Public

    Comparison of Overall Survival After Open vs. Robot-Assisted Radical Cystectomy A Target Trial Emulation Approach to Mitigate Immortal Time Bias

  5. Graduation-paper Graduation-paper Public

    Graph Attention Neural Networks for Survival Analysis of Default in Peer to Peer Lending