교수진 및 연구실 소개SAIHST에는 기초의학, 임상의학, 자연과학, 약학, 공학, 경영대학 등 Health Science와 관련된 다양한 분야를 전공한 교수진이 참여하고 있습니다.
미래의과학을 선도할 역량있는 교수의 참여를 기다립니다.
| 연구실소개 |
Genomics and Digital Health Laboratory/원홍희 교수 E-mail : wonhh@skku.edu Homepage : http://wonlab.skku.edu 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 |