Narod Daldal
Data Scientist | PhD in Bioinformatics | Machine Learning for Target and Drug Discovery
I’m currently finalizing my PhD in Bioinformatics and Systems Biology at University College Dublin, funded by the Marie Skłodowska-Curie Actions Doctoral Programme, INTEGRATE, and the Research Ireland Centre for Research Training in Genomics Data Science.
My research focuses on developing data ingestion pipelines and machine learning workflows in Python to analyze large-scale biomedical data, to identify and prioritise therapeutic targets in cancer. I am particularly interested in how genetic alterations create cellular vulnerabilities, and how computational methods can help uncover the mechanisms behind them. As part of my doctoral work, I built a publicly available web platform to support web-lab scientists in designing libraries for combinatorial CRISPR screens; the related manuscript is currently under review at Genome Medicine.
My experience spans academic and industry settings, combining wet-lab research, bioinformatics, machine learning, and scientific communication. I enjoy working across disciplines and collaborating with both computational and experimental scientists to translate complex biological data into insights that can guide target and biomarker identification.