Tulay Koru-Sengul

MHS, MA, PhD
Leonard M. Miller School of Medicine at The University of Miami
Assistant Professor, Department of Epidemiology and Public Health Faculty Biostatistician, 
Sylvester Comprehensive Cancer Center, Biostatistics and Bioinformatics Core 


Address: Clinical Research Building Suite 1042 (Locator Code R669) 
1120 NW 14th Street - Miami, FL 33136 
Phone : 305-243-2618 
Fax : 305-243-9470 
Email : tsengul@med.miami.edu

SEEDS You Choose Abstract
A workshop for the Junior Faculty Health Researchers in Biostatistics will be held on March 13-14, 2009 immediately preceding the ENAR-2009 Spring Meeting (March 15-18, 2009) at San Antonia, Texas ( http://www.enar.org/meetings.cfm). The workshop is aimed at promoting the career development of junior investigators by bringing them together with a prestigious panel of senior investigators. Publishing, grant writing, interdisciplinary collaborations, promotion process by providing important information on academic growth will be the themes of the workshop. ENAR workshop committee awarded Dr. Tulay Koru-Sengul with a funding of up to $550. Therefore, Dr. Tulay Koru-Sengul requested additional funds for attending the workshop and ENAR-2009 Spring Meeting along with its professional and educational activities. If you require further details regarding the applicant and the application, please do not hesitate to contact Dr. Tulay Koru-Sengul either by email (tsengul@med.miami.edu) or phone (305-243-2618) at the University of Miami.

About the Applicant 
Dr. Tulay Koru-Sengul is an assistant professor of biostatistics in the Department of Epidemiology and Public Health and a Faculty Biostatistician at the Sylvester Biostatistics and Bioinformatics Core at Miller School of Medicine, University of Miami. She is an experienced statistician and trial methodologist who joined the UM in 2008. 

Dr. Tulay Koru-Sengul has training and experience in statistics/biostatistics. Her research areas include biostatistics, design and analysis of clinical trials, statistical genetics, longitudinal data analysis, analysis of repeated measurement data, missing data analysis, analysis of longitudinal responses in the presence of missing data, joint modeling of longitudinal and survival data and statistical methods for high dimensional medical data. Her primary biostatistical research interests lie in the development and application of statistical methods for biological responses that vary in time and occasion. 

Her doctoral dissertation in statistics addresses the issues and the solutions on the missing data problem for longitudinal studies in general. She developed a new modeling approach and a methodology to handle missing values to analyze longitudinal studies. She has experience on designing, planning, analyzing, and reporting on clinical trials and applying variety of statistical models especially in medicine. Her publications and conference presentations include her methodological work in statistics as well as her collaborative work in various fields in medicine. 

Keywords: Biostatistics, Design and Analysis of Randomized Controlled Trials, Longitudinal Data Analysis, Analysis of Repeated Measurement Data, Missing Data Analysis, Joint Modeling of Longitudinal and Survival Data, Statistical Methods for High Dimensional Medical Dat.