Arby (Abdullah) Abood

I am a computational scientist with expertise in molecular genetics, bioinformatics, and applied data science, focused on building scalable analytical capabilities that advance research, decision-making, and innovation.

My experience includes expanding bioinformatics programs from targeted gene expression studies into bulk RNA-seq, single-cell RNA-seq, epigenomics, and biological aging analytics. I’ve built multi-omics and predictive modeling frameworks that connect genomic, phenotypic, and historical study data to generate meaningful, decision-ready insights across complex research initiatives.

Beyond technical analysis, I work across functions to improve how scientific organizations use data. I’ve partnered with teams in R&D, manufacturing, and quality to automate analytics, strengthen insight generation, and develop systems that make research knowledge easier to access and apply. I’m particularly interested in AI-enabled knowledge management, graph-based retrieval systems, and the practical use of generative AI in scientific and regulated environments.

I’m motivated by difficult, ambiguous problems that require both scientific rigor and systems thinking, and I do my best work where biology, computation, and strategy meet.