Larry Tang

Dr. Larry Tang is a Professor in the Department of Statistics & Data Science at the University of Central Florida (UCF), affiliated with the National Center for Forensic Science and the NIH Clinical Center. He previously held positions at George Mason University (2007-2019) and completed postdoctoral training in Biostatistics at the University of Washington. His research focuses on statistical methodology applied to forensic science, diagnostic medicine, clinical trial design, and criminology, with funding from the National Institute of Justice and National Institutes of Health.

Education:

• B.S. in Finance, University of Science and Technology of China (2000)
• M.S./Ph.D. in Statistics, Southern Methodist University (2003/2005)
• Postdoctoral Fellow, University of Washington (2005-2007)

Research Interests: Dr. Tang develops statistical methods for evaluating forensic evidence, diagnostic tests, and criminological studies. Key areas include ROC curve analysis, group sequential designs, algorithmic bias detection, and biometric recognition systems. His work bridges theoretical statistics with practical applications in criminal justice and healthcare.

Grants & Collaborations: Active research is supported by federal grants focusing on forensic methodology and mental health outcomes. He collaborates with the NIH Clinical Center on disability assessment studies and the National Center for Forensic Science on fire debris analysis and latent fingerprint evaluation.