Dr. Aamna AlShehhi joined Khalifa University as an Assistant Professor of Biomedical Engineering in 2021 and Electrical Engineering and Computer Science in 2020. Her research interests include Statistical Analysis, Big Data analytics, Machine Learning, and Artificial Intelligence. She holds a Bachelor's degree in Software Engineering from the United Arab Emirates University (2009), and Master's in Computing and Information Science (2013), and a Ph.D. in Interdisciplinary Engineering (2017) degrees from Masdar Institute of Science and Technology in collaboration with the Massachusetts Institute of Technology (MIT). During her Ph.D., Dr. AlShehhi was part of an exchange program for one semester at MIT (2015). Throughout her studies, her research was based on time series analysis, big data analysis, and machine learning modeling for weather forecasting for different weather stations in the UAE and Twitter data analysis in the context of the Arab world with a special focus on the UAE.

In 2017, Dr. AlShehhi joined Khalifa University and MIT as a post-doctoral fellow. She also joined the Imperial College London as an honorary research associate at the School of Public Health, Epidemiology & Biostatistics (inc MRC-PHE Centre). Her post-doc research focused on Causal Inference, Machine Learning, and Artificial Intelligence for the medical domain. Her works centered on skin lesion analysis toward melanoma detection and screening of different drugs to repurpose a drug that can delay the onset and the progress of dementia. Aside from her academic project, Dr. AlShehhi collaborated with researchers from the Novartis Institute for Biomedical Research to build Deep Learning models for early-stage cancer detection using genomic data.