Alaa Melek (she/her/hers) is a doctoral student in the Department of Biomedical Engineering at The University of Texas at Austin, having completed her bachelor’s and master’s degrees in the same field at Cairo University. Her research is centered on the applications of AI in healthcare. Alaa’s master’s research was about finding novel AI methods for breast cancer risk prediction from mammograms. She successfully utilized bilateral analysis and Siamese neural networks to improve breast cancer risk prediction by 5-10%. She also worked in the industry as a deep learning research engineer focusing on cardiac segmentation in MRI and strain-encoded MRI.
At DMIC, Alaa is focusing on pulmonary function response prediction after radiotherapy for lung cancer patients. She is also investigating multimodal AI in the diagnosis of interstitial lung diseases.