디지털헬스학과 입학생을 지도할 수 있는 교수진 명단은 아래와 같습니다. 입학 지원시 해당 교수의 프로필 및 연구분야를 반드시 확인하시기 바랍니다.
| 연구실 교수 / |
이름 : 연구실
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연구실 : Genomics and Digital Health Laboratory/원홍희 교수 E-mail : wonhh@skku.edu Homepage : http://wonlab.skku.edu 실험실명 : 참여학과 : 융합의과학과, 디지털헬스학과 인쇄하기 |
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■ Research objective
Our main interests are human genomics and digital health informatics. Specifically, we, as a team, pursue successful combinations of advanced informatics skills and biomedical developments to understand the genetic bases of human disease and improve healthcare. We welcome applications from prospective students and postdocs that are highly motivated and creative. ■ Research interests Medical & Population Genomics Since the Human Genome Project, genome-wide association studies have been successful in identifying common genetic variants that are associated with diverse human diseases or traits. However, only a small portion of heritability of the diseases or traits has been explained by the discovered common variants. Our lab identifies disease-causing genes and treatment targets by utilizing advanced genomic technologies (NGS, multi-omics, and statistical approaches). Digital Health Information P4 medicine (predictive, personalized, preventive and participatory) will improve healthcare substantially and enable precision medicine. Recent advances in mobile and wearable devices and genomic technology generate unprecedentedly huge and digitized health information. Digital healthcare informatics encompass genetic, environmental and behavioral components of personal health. Our lab members with various expertise collaborate together towards this goal. Machine Learning & Artificial Intelligence & Big Data Analysis Data-driven medicine is a key aspect of future medicine. Machine learning techniques are very useful in generating data-driven hypotheses and prediction models of diagnosis and prognosis. In particular, deep neural network can be applied to unstructured data such as medical images, DNA sequences, etc. Our lab uses statistical and machine learning methods to address various biomedical questions. ■Contact wonhh@skku.edu |