Mustapha Abubakar, M.D., Ph.D., joined the Integrative Tumor Epidemiology Branch (ITEB) as a postdoctoral fellow in June 2017. Dr. Abubakar earned his medical degree from Bayero University, Kano, Nigeria in 2006. He trained in general pathology from 2009-2011 in the Department of Pathology, Aminu Kano Teaching Hospital, Nigeria. In 2012, he received his M.Sc. in epidemiology from the Imperial College London, United Kingdom, and obtained his Ph.D. in molecular epidemiology from the University of London’s Institute of Cancer Research (ICR), London in 2017. During his doctoral studies, Dr. Abubakar worked under the direction of Professors Montserrat García-Closas, Anthony Swerdlow, and Mitch Dowsett to develop a digital pathology protocol for the high-throughput scoring of KI67 in breast cancer tissue microarrays and investigate etiological and prognostic heterogeneity among breast cancer subtypes defined by KI67 and other immunohistochemical markers. In DCEG, he is working with Gretchen Gierach, Ph.D., M.P.H., senior investigator, Metabolic Epidemiology Branch, to conduct molecular epidemiological studies that evaluate the relationship between histopathological characteristics of breast tissues with radiologically determined mammographic density and breast cancer risk. He is also working with Montserrat García-Closas, M.D., Dr.P.H., Deputy Director, DCEG, and Xiaohong Rose Yang, Ph.D., M.P.H., senior investigator ITEB, to conduct molecular epidemiological studies of breast cancer subtypes in different populations.
Haoyu Zhang, B.S., joined the Integrative Tumor Epidemiology Branch (ITEB) as a predoctoral fellow in July 2017. Mr. Zhang earned his B.S. in mathematics from Zhejiang University, China, in 2014 and is currently pursuing his Ph.D. in biostatistics at the Johns Hopkins Bloomberg School of Public Health. He is doing his doctoral dissertation research jointly with Montserrat García-Closas, M.D., Dr.P.H., Deputy Director, DCEG, and Acting Chief, ITEB, and Nilanjan Chatterjee, Ph.D., Bloomberg Distinguished Professor at the Bloomberg School. Mr. Zhang’s research is focused on methods for genetic association testing and polygenetic models utilizing multivariate tumor characteristics for breast cancer. His ultimate goals are to improve breast cancer risk assessment, improve decision making for targeted screening, and develop strategies for personalized breast cancer prevention.