Summary
Poorya Parvizi is a Senior Data Scientist in bioinformatics based in Gothenburg with four years of interdisciplinary experience spanning NGS analysis, network science, machine learning and deep learning. He combines academic rigor from a PhD in Medical Informatics at the University of Edinburgh with hands-on research across EMBL-EBI and multiple university labs, applying network embeddings and supervised learning to drug–target interaction prediction and immune infiltration studies. His work bridges single-cell and bulk transcriptomics, somatic variation analyses, and aging-related computational hypotheses, reflecting a strong ability to translate complex biological questions into reproducible computational frameworks. At AstraZeneca he now brings that research-driven perspective to industrial bioinformatics problems, while his background in visualization and diverse collaborative projects highlights an aptitude for communicating complex results to cross-functional teams.
4 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Medical Informatics, Doctor of Philosophy - PhD, Medical Informatics at The University of Edinburgh
Bachelor's degree, Biology, Bachelor's degree, Biology at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Persian, azeri, English, Turkish