Summary
Daniel Mcgoldrick is a PhD-trained statistical geneticist and founder/CEO with over 20 years of hands-on experience cracking the “operating systems” of living systems across molecular biology, computational genomics, and applied bioinformatics. He has led discovery from bench to field—developing novel markers and QTL work, running commercial trials in aquaculture, and dissecting heterosis—while building production pipelines for HITS-CLIP, ChIP-Seq, RNA-Seq, variant calling and SARS-CoV-2 assembly. Equally comfortable with population-genetic modeling, miRNA biology, microbiome screens and graph-genome assembly, he has interrogated 600 tumor-normal genomes and partnered with government, academia and industry consortia. Today he combines entrepreneurial leadership with a drive to adopt long-read sequencing and AI-driven genomic algorithms to unlock non-coding biology for medical and public-health applications. An uncommon blend of deep wet-lab pedigree and scalable computational tool-building makes him a practical mentor and technical lead for interdisciplinary teams.
10 years of coding experience
Doctor of Philosophy - PhD, Genetics, Doctor of Philosophy - PhD, Genetics at University of California, Davis