Summary
Belal Medhat is a PhD Fellow at UiT The Arctic University of Norway, working at the intersection of bioinformatics, probabilistic machine learning, and system biology to advance multi-omics analysis and antimicrobial resistance research. He holds an MSc in Web Science and Bioinformatics from The British University in Egypt (validated by London South Bank University) and a BSc in Bioinformatics from Ain Shams University, with a research trajectory that includes published work in IEEE/ACM Transactions on Computational Biology and Bioinformatics. His current focus spans machine/deep learning, big data, multi-omics integrations, and genomics, bringing rigorous academic training to practical data-driven insights. With about nine years of experience, he has served as a teaching assistant at several international institutions and helped organize two major conferences in Cairo. Based in Tromsø, Norway, he blends hands-on software development with research leadership, aiming to translate complex omics data into scalable analytics pipelines. He is actively seeking a PhD scholarship to deepen capabilities in multi-omics techniques and their applications in antimicrobial resistance.
9 years of coding experience
1 year of employment as a software developer
Doctor of Science, Bioinformatics and Statistical Machine Learning for Antimicrobial Resistance, Doctor of Science, Bioinformatics and Statistical Machine Learning for Antimicrobial Resistance at UiT- The Arctic University of Norway
Bachelor's Degree, Computer and information sciences, Majoring in Bioinformatics, Bachelor's Degree, Computer and information sciences, Majoring in Bioinformatics at Ain Shams University
Master's degree, Web Science(Big Data, Cloud Computing, Network Analysis, Bioinformatics), Master's degree, Web Science(Big Data, Cloud Computing, Network Analysis, Bioinformatics) at London South Bank University
Master’s Degree, Web Science and Bioinformatics, Master’s Degree, Web Science and Bioinformatics at The British University in Egypt
Japanese, English, Arabic, German