UHealth - University of Miami Health System

Tulay Koru-Sengul, Ph.D., MHS

General Information

Tulay  Koru-Sengul, Ph.D., MHS

Contact

  • .(JavaScript must be enabled to view this email address)

Languages

  • English

Roles

  • Research Associate Professor, Department of Public Health Sciences, Division of Biostatistics
  • Research Associate Professor, Sylvester Comprehensive Cancer Center

CV

Research Interests

• Biostatistics
• Statistical Methods Applied to Biomedical Sciences
• Statistical Methods for Correlated Data
• Missing Data Analysis
• Cancer Epidemiology
• Cancer Health Disparities
• Design and Analysis of Randomized Controlled Clinical Trials
• Smoking Biomarkers

Education

2004 PhD
University of Pittsburgh
2002 MA
University of Pittsburgh
1998 MHS
Johns Hopkins University

Publications

Biography

Dr. Tulay Koru-Sengul is an Associate Professor in the Department of Public Health Sciences at the University of Miami Miller School of Medicine. She is a member in the Cancer Epidemiology and Prevention Program, Clinical Protocol Review Committee, the Data and Safety Monitoring Committee and a faculty biostatistician in the Biostatistics and Bioinformatics Core at Sylvester Comprehensive Cancer Center. She earned her Master’s degree in biostatistics from Johns Hopkins University, and both Master’s and Doctoral degrees in statistics from University of Pittsburgh. She held research positions at University of Pittsburgh and faculty appointments at the State University of New York at Buffalo, University of Saskatchewan and McMaster University in Canada. Along with her faculty appointments, she was the director of the Statistical Consulting Laboratory in the Department of Biostatistics at the State University of New York at Buffalo, a Research Scientist at Saskatchewan Health Quality Council, and a faculty biostatistician in the Clinical Trials Methodology Group at Ontario Clinical Oncology Group in Canada. Her research interests includes development and application of statistical methods for biological responses that vary in time and occasion, design and analysis of clinical trials, missing data analysis, and statistical methods for high dimensional medical data. Her current cancer research interests focus on the areas of health disparities in cancer diagnosis, prevention, screening, survival and other outcomes using large population-based databases. She currently teaches Medical Biostatistics in the MPH, MD/MPH programs and activity mentors several graduate students, medical residents and fellows.