Summary
Aysun Urhan is a Research Software Engineer and instructor based in Rotterdam with nine years of experience at the intersection of bioinformatics, machine learning, and large-scale data analysis. She completed a PhD in Bioinformatics at TU Delft where she developed deep-learning and graph-based algorithms to predict gene function and discover toxins, and later translated that research into collaborative projects on antimicrobial resistance at the Broad Institute. Comfortable across high-performance computing, NLP on biological text, and time-series analysis, she combines an engineering mindset with a strong commitment to open science and FAIR data practices. Aysun mentors students and teaches workshops on Unix, Python, and Git, bringing practical pedagogy to complex computational workflows. Notably, she has a track record of designing robust, large-scale benchmarks—an uncommon emphasis that has helped drive reproducible evaluation in comparative genomics.
9 years of coding experience
4 years of employment as a software developer
Kadir Has Anadolu Lisesi
Doğuş Eğitim Kurumları
TU Delft
Master of Science (M.Sc.), Chemical Engineering, 3.88/4.00, Master of Science (M.Sc.), Chemical Engineering, 3.88/4.00 at Boğaziçi University
English, Turkish, Spanish