Dr Gihan Mohamed Shehata Hassan is an Associate Professor in the Biomedical Informatics & Medical Statistics Department at the Medical Research Institute (MRI) at Alexandria University, Egypt. She graduated in Medicine from the Faculty of Medicine at Alexandria University in 1997, before working as a demonstrator with active participation in the follow up clinic of Alexandria Cancer Registry between 2000 and 2005.
Gihan completed her Master's degree in Public Health at the High Institute of Public Health, Alexandria, with a thesis titled 'Risk factors of infertility & probability of conception'. She worked as an Assistant Lecturer of Medical Statistics at the MRI at Alexandria University before finishing her Doctorate degree in Public Health at Alexandria University in 2009, with a thesis titled 'Accuracy of trans-vaginal ultrasonography in postmenopausal bleeding: cross sectional & Meta analysis study'.
She then worked as a Lecturer in the Bioinformatics & Medical Statistics Department at the MRI at Alexandria University, and completed a Master's degree in Gynecology and Obstetrics at Alexandria University in 2013. She has been working as an Assistant Professor in the Biomedical Informatics & Medical Statistics Department at the MRI since.
Gihan has been a member of the American Statistical Association since 2017 and a member of the Women’s Health Promotion Society since 2018. Her present job involves teaching and training medical and paramedical postgraduate students in the statistical analysis of data, research design methods, survival analysis, systematic reviews and meta-analysis in medical fields. She works as a consultant for the statistical analysis of differenr types of research, specifically postgraduate research.
She has clinical experience in the fields of cancer, gynecology and obstetrics. She has published in many medical fields, such as breast cancer, cancer endometrium, managements of gastrointestinal perforations, liver trauma, chronic Hepatitis C outcomes, forensic medicine, critical thinking and attitudes of physicians, predicting preterm labour, traumatic bain injury manegement, and aluminium exposure in food.