LABS
Laboratory of AI & Biomedical Science
LABS is recruiting now at all levels! LABS focuses on developing and applying artificial intelligence and machine learning (AI/ML) to various biomedical data related to human aging and disease. Junhao (Hao) Wen, PhD, is a computational neuroscientist with expertise in medical image computing, artificial intelligence/machine learning, multi-omics, and multi-organ bioinformatics. He is the Director of Imaging Genetics Research at Columbia's Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID). He also holds an affiliated appointment at Columbia's Department of Biomedical Engineering (BME), the New York Genome Center (NYGC), and Columbia's Zuckerman Institute (ZI) and Data Science Institute (DSI). He is also a visiting faculty at the Center for AI and Data Science for Integrated Diagnostics (AI2D) at the University of Pennsylvania and the founding co-chair of the Brain Imaging Genetics workgroup of the International Society for Advancing Alzheimer's Disease Research and Treatment, the largest international Alzheimer's research community. We look forward to working with the next generation of brilliant scientists.
The interests of LABS are to develop and apply statistical, machine learning, and artificial intelligence (ML/AI) methodologies to “big data” in multiomics and medical data for aging and diseases, such as Alzheimer’s disease. In particular, we emphasize utilizing advanced ML/AI techniques and multi-omics data, including MRI, genetics, transcriptomics, and proteomics, to solve clinically relevant problems for precision medicine. All relevant directions can be pursued based on discussions, interests, and expertise.
Please send your CV and related documents to email: jw4745(at)cumc.columbia.edu; postdoc candidates can also directly apply on Interfolio.