Qingbin Song, MD
About Me
Dr. Song is a scientist in computational biology. He has double degrees: medicine and computer science, and was well trained on Molecular Biology, Genetics and Computer Science. He has extensive experience in experimental biology and database management. His current goal is to develop a robust information management system on clinical specimen repository for personalized medicine.
He serves as a Director of IT Core Lab in the institute, develops and manages the Laboratory Information Management System (LIMS), integrates biomedical instruments into LIMS and automates the sample extraction and tracking pipeline.
Dr. Song is a Co-Investigator of the NIDDK-funded U01 grant ‘New York CKD Biomarker Program’.
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About Me
Dr. Song is a scientist in computational biology. He has double degrees: medicine and computer science, and was well trained on Molecular Biology, Genetics and Computer Science. He has extensive experience in experimental biology and database management. His current goal is to develop a robust information management system on clinical specimen repository for personalized medicine.
He serves as a Director of IT Core Lab in the institute, develops and manages the Laboratory Information Management System (LIMS), integrates biomedical instruments into LIMS and automates the sample extraction and tracking pipeline.
Dr. Song is a Co-Investigator of the NIDDK-funded U01 grant ‘New York CKD Biomarker Program’.