Summary
Hesham Elabd is a computational immunology researcher with eight years of experience combining bioinformatics, biomathematics and pharmaceutical sciences to tackle problems from bacterial quorum sensing and antibiotic resistance spread to HLA genetics and chronic inflammatory disease. He holds a PhD in Biomathematics/Bioinformatics from Kiel University and has developed production-grade software and deep learning frameworks for peptide–HLA prediction, immunopeptidomics and personalized proteome generation. Proficient in Python, PySpark and Rust, he bridges clinic, wet lab and computational teams to translate complex biological questions into scalable analyses and tools. Currently based at University Hospital Schleswig-Holstein, he leads population-level T and B cell repertoire studies and has experience interning at Adaptive Biotechnologies, giving him practical exposure to industry-grade immune repertoire technologies. A distinctive strength is his cross-disciplinary fluency—able to move between mathematical models of microbial ecology and deep learning for immunogenetics—making him effective at both hypothesis-driven research and software-driven discovery.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Excellent (Summa cum laude), Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Excellent (Summa cum laude) at Kiel University
Bachelor's degree, Pharmaceutical Sciences, Excellent, Bachelor's degree, Pharmaceutical Sciences, Excellent at Modern Sciences and Arts University