Dr. Ruhul Ali Khan is a Global Professor in the Department
of Mathematics at the University of Arizona. He earned his BS in Mathematics
from the University of Calcutta (2013), his MSc in Applied Mathematics (2015),
and his PhD in Science in 2021 from the Indian Institute of Engineering Science
and Technology, Shibpur. After his PhD, he worked as a Visiting Scientist in the
Theoretical Statistics & Mathematics Unit at the Indian Statistical
Institute, Delhi. His teaching disciplines include Bayesian Statistics and
Capstone: Stats/Data Science. His research interests are broadly in the area of
estimation theory, modeling (statistical methods & theory), nonparametric
statistics, reliability theory, survival analysis, stochastic ordering, and ROC
curve analysis.
Dr. Musie Ghebremichael is a Statistician at the Ragon
Institute, an Associate Professor of Medicine at Harvard Medical School, and an
Associate Investigator at the MGH Biostatistics Center. He provides statistical
support to Ragon and Ragon-affiliated investigators, including education on
statistical methods and software, such as SAS, R, and MATLAB. He received his
BS in Mathematics from Asmara University, Eritrea (1993), his PhD in Statistics
from Rice University (2004), and completed a post-doctoral fellowship at Yale
University (2006) with a primary research focus on Statistical Methods applied
to HIV/AIDS research. Before joining the Ragon Institute, he worked as a
Statistician for the Harvard University Center for AIDS Research (HU CFAR) and
the Dana Farber Cancer Institute. He and his laboratory specialize in the
application and development of statistical methods, including data management,
data analysis, etc., for HIV/AIDS, TB, and immunology research.
