Developing graph-based neural network models for multi-omics data integration to analyze large-scale cancer cell line datasets at CIIMAR, University of Porto and IST, University of Lisbon. Funded by la Caixa Foundation (Inphinit Fellowship) and FCT PhD Studentship.
Faculty of Science, Porto University / IST, University of Lisbon, Portugal · GPA: 18/20
Computer Science, Nile University, Egypt · GPA: 3.77/4.0
Full Master Fellowship from Al-Qalaa Scholarship · Master thesis at Rostock University, Germany (DAAD Grant).
Cairo University, Egypt · GPA: 3.35/4.0
Graduation project through Erasmus Exchange Program — Faculty of Science, University of Porto (Feb–Jul 2018).
Mohamed Emam, Gonçalves, E., Monteiro, P.T., & Antunes, A. GID: Graph Integrated-omics using Dual-view for prediction of tissue specific interaction.
Batista, I., Dias, C., Almeida, S., Cargaleiro, J., Mohamed Emam, Simões, R.V., Mendes, N., Quintas, S.T., Lopes, D.B., Mourao, B., Cravo, M., Steketee, M., Kim, Y., Ylstra, B., Antunes, A., Machado, J.C., & Melo, S. NK Cell Adoptive Transfer Suppresses Metastasis and Prolongs Survival in Pancreatic Cancer. Submitted to Nature Cell Biology.
Omran, M.M., Mohamed Emam, Gamaleldin, M., Abushady, A.M., Elattar, M.A., & El-Hadidi, M. Comparative analysis of statistical and deep learning-based multi-omics integration for breast cancer subtype classification. Journal of Translational Medicine, 23(1).
DOI: 10.1186/s12967-025-06662-5Fadel, Y.M., Khaled, M., Mohamed Emam, et al. Positive Selection Shapes Breast Cancer Tumor Suppressor Genes: Unveiling Insights into BRCA1, BRCA2, and MDC1 Stability. Journal of Molecular Evolution, 93(1), 100–110.
DOI: 10.1007/s00239-024-10222-8Mohamed Emam, Tarek, A., Soudy, M., Antunes, A., El Hadidi, M., & Hamed, M. Comparative evaluation of multiomics integration tools for the study of prediabetes: insights into the earliest stages of type 2 diabetes mellitus. Network Modeling Analysis in Health Informatics and Bioinformatics.
DOI: 10.1007/s13721-024-00442-9Elsherif, A.K., Mohamed Emam, Abushady, A.M., Gamaleldin, M., Al-Atabany, W., & Elhadidi, M. Integrated Analysis of Bulk and Single-Cell Transcriptomics in Cervical Cancer: Insights into BPGM, EGLN3, and SUN1. IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE).
DOI: 10.1109/bibe60311.2023.00023Bhasin, S.S., Thomas, B.E., Summers, R.J., Sarkar, D., Mumme, H., Pilcher, W., Mohamed Emam, et al. Pediatric T-cell acute lymphoblastic leukemia blast signature and MRD associated immune environment changes defined by single cell transcriptomics analysis. Scientific Reports.
DOI: 10.1038/s41598-023-39152-zCo-author Mohamed Emam. Analysis of Single Cell Transcriptomics in Paired Pediatric T-ALL Samples Collected at Diagnosis and Following End of Induction Therapy Reveals an MRD-Associated Stem Cell Signature. Blood.
DOI: 10.1182/blood-2021-153841Mohamed Emam. Positive selection as a key player for SARS-CoV-2 pathogenicity: Insights into ORF1ab, S and E genes. Virus Research, 302, 198472.
DOI: 10.1016/j.virusres.2021.198472Mohamed Emam, Machado, J.P., & Antunes, A. Evolutionary genomics of mammalian lung cancer genes reveals signatures of positive selection in APC, RB1 and TP53. Genomics, 112(6), 4722–4731.
DOI: 10.1016/j.ygeno.2020.08.020Mohamed Emam. Detection of Mammalian Coding Sequences Using a Hybrid Approach of Chaos Game Representation and Machine Learning. IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
DOI: 10.1109/bibm49941.2020.9313497Topic: Tracking the positive selection for lung cancer genes.
Topic: Transcriptome analysis for COVID patient.
Introduction to Next Generation Sequencing through the Egyptian Computational Biology community.
Tutorials on Bioinformatics, Genetics, and Biochemistry.
Heidelberg, Germany.
Youth Empowerment in Science, Nile University, Egypt.
Cairo University, Egypt. Awarded for maintaining an "Excellent" overall grade.
Human Genome and Genetic Research Conference, National Research Center, Egypt.
Av. dom João I, 484 Rio Tinto, Porto, Portugal 4435-208
Phone: +351 939-134-253
Email: memam@nu.edu.eg