Leadership is the most important factor that attracted me to QCRI. Need for creativity is the second factor. Innovation is a very important factor at QCRI. At QCRI we are being challenged continuously, we have been asked to think big. We are supposed to do research with applications that are of great impact, nationally and internationally.
Dr. Halima Bensmail is working broadly on statistical machine learning, applied it to medical areas for research that is referred to as: machine learning in Bioinformatics.
Her research focus includes:
Dr. Halima Bensmail is Associate Professor at HBKU’s College of Public Health, a Senior Scientist of Biostatistics/Statistics and Computational Biology at the Qatar Computing Research Institute (QCRI), and founder of the Computational Biology group (CS&E) at QCRI. Dr. Bensmail's work focuses on developing new machine learning algorithms for solving large-scale and high-dimensional problems for achieving significant biomedical discoveries. Dr. Bensmail joined QCRI in 2011 while serving as an Associate Professor at the University of Virginia (EVMS) and an Adjunct Faculty member at Oak Ridge National Laboratory, USA. Before 2011, She held positions as Research Scientist at the Fred Hutchinson Cancer Research Center (FHCRC), USA and at the University of Leiden, The Netherlands; and as a Postdoctoral Researcher at the University of Washington, Statistics Department in Seattle, USA and as an Assistant and Associate Professor at the University of Tennessee in Knoxville, USA. Dr. Bensmail completed her PhD at the University Pierre et Marie-Curie (ParisVI). She serves as a consultant or advisory member for a number of key computational biology and biomedical engineering projects and grants agencies such as Qatar National Research Fund, Qatar Statistics Authority, American National Institute of Health (NIH), National Science Foundation (NSF) and Department of Energy (DOE). She has published numerous peer-reviewed manuscripts (+80) and has won multiple awards.
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