Expertise and detail-oriented clinical researcher with a background medical data
Image data (Brain CT, MRI (T1, T2, DTI), PET(Amyloid, Tau))
Structed information (Laboratory results, EMR, etc.)
Multi-center cohort study data
Life-log data from mobile application.
Experienced clinical researcher skilled in developing research protocols and collaborating with industry partners and multidisciplinary teams.
Expertise in study design, data curation, statistical and artificial intelligence (machine learning, deep learning) analysis
Project management, team leadership, and fostering academia-industry partnerships.
Name: Sang Won Park, Ph.D.
Position: Assistant Professor
Affiliation : Dept. of Data Medicine, Konyang University College of Medicine
Research field
Medical Brain Image Data Analysis for Alzheimer's disease in Neuroscience
Structured Clinical data analysis
Skills
Programming (R, Python)
AI, Machine Learning, Statistical Analysis
Address: Konyang University, 158, Gwanjeodong-ro, Daejeon 35365, Rep. of Korea
Ph.D., Dept. of Medical Bigdata Convergence, Kangwon National University
Thesis: Deep and Machine Learning Application for the Classification of Alzheimer's Disease using Tau PET
Adviser: Professor. Jae Won Jang, M.D.Ph.D.
Area of Research
Brain image and clinical data analysis for Alzheimer Disease
Building a database for dementia patients clinical information
M.S., Dept. of Radiation Oncology, University of Science and Technology
Thesis: A study on radiomics application for survival prediction analysis of Head and Neck Squamous Cell Carcinoma(HNSCC) patient using PET image
Adviser: Professor Jin Su Kim, Ph.D.
Area of Research
Radiomics analysis using radiology image for cancer patients treatment