Summary
Noah Reid is an evolutionary biologist and computational genomics leader with 11 years of experience applying R, shell scripting, and HPC to decipher the genomic basis of traits and speciation. As Associate Director of the Computational Biology Core at the University of Connecticut, he blends project consultation, training program leadership, and HPC policy implementation while directing a genomic data analysis graduate certificate. He has developed and published novel methods for evolutionary genetic analysis and routinely handles large-scale datasets including whole genomes, RNA-seq, and population genomics. Noah pairs hands-on coding and visualization skills with grant and manuscript authorship, and he brings practical teaching and mentorship to research teams. An underappreciated strength is his ability to translate complex computational workflows into accessible workshops and documentation that scale research impact across a university.
11 years of coding experience
Master's Degree, Evolutionary Biology, Master's Degree, Evolutionary Biology at University of Idaho
Doctor of Philosophy (Ph.D.), Evolutionary Biology, Doctor of Philosophy (Ph.D.), Evolutionary Biology at Louisiana State University
Bachelor's Degree, Biology, General, Bachelor's Degree, Biology, General at Boston University