Dr. Xiaoran Tong is an assistant professor for the Center for Innovation in Population Health, University of Kentucky (IPHC/UKY). He manages, analyzes, and develops statistical methods targeting data collected via CANS (Child Adolescent Needs and Strength) and other TCOM-based assessment tools to improve youth welfare services.
Under the guidance of IPHC/UKY, Dr. Xiaoran develops, and uses innovative statistical methods to assess youth welfare service data and provides data driven guidance for policies. His main interests are the incorporation of contemporary machine learning approaches into the analysis of CANS (Child Adolescent Needs and Strength) assessment data.
Prior to the IPHC, Dr. Xiaoran Tong was a post-doc research fellow in NIH/NIEHS Biostatistics and Computational Biology Branch (BCBB). aided the BCBB in high performance computation, developed new methods to select genetic polymorphism involved in gene-environment interactions for thousands of diseases.
Prior to the NIH, he was trained in Epidemiology and Biostatistics in Michigan State University (MSU), where his Ph.D. focused on developing machine learning methods to jointly analyze high-dimensional medical imaging and genetic polymorphism data for complex diseases.
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