Ahmed Saadawy ahmedhesham47

Hi there! 👋 I'm Ahmed Saadawy

🎓 PhD Student in Molecular & Cellular Biosciences @ University of Southern California
🔬 Graduate Research Assistant at CSI-Cancer — bridging liquid biopsy with computational biology
🎓 BSc in Computational Biology & Genomics (Minor: Information Engineering) from Zewail City for Science and Technology
🚀 Current research: Identifying rare cell populations in multiple myeloma using the HDSCA platform & developing multi-modal predictive models for clinical outcomes

🧬 Liquid Biopsy — cfDNA, ctDNA, fragmentomics, circulating tumor cells
🧠 AI for Biology — interpretable ML/DL methods for biological data
🧪 Systems Biology — network biology, cellular self-organization, virtual cell modeling
🩺 Cancer Biology & Immunology — multiple myeloma heterogeneity, immunotherapy, tumor immune microenvironments

📖 Publication	📖 Journal	🧪 Repository
AI in Healthcare: Using Bayesian Networks to Predict Response to Immune Checkpoint Blockades	IEEE Xplore	Bayesian Networks for ICB
The landscape of cyclin-dependent kinase 4/6 inhibitors in solid malignancies: Emphasis on immunotherapy combinatorial strategies	Springer Nature, Medical Oncology	CDK4_6-Inhibitors-In-silico-Analysis
Integrative multi-omics pipeline for analysis of checkpoint blockade therapy	Springer Nature, Network Modeling Analysis in Health Informatics and Bioinformatics	Integrative Multi-omics Pipeline for Analysis of Checkpoint Blockade Therapy
OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry	Springer Nature, BMC Bioinformatics	OpenIMC
Voltage‐dependent anion channels: key players in viral infection	Wiley, Reviews in Medical Virology	N/A
Trimetazidine mitigates methotrexate‐induced liver damage: Insights From biochemical, histological, and in silico analyses	Wiley, Archiv der Pharmazie	N/A

💡 “The best way to predict the future is to create it.”