Summary
Leland Taylor is a computational biologist and Senior Postdoctoral Fellow with 11 years of experience translating genomic signals into mechanistic insights about common disease. Trained at the University of Cambridge in statistical genetics and bioinformatics and currently based at NHGRI, he develops methods that integrate genetic variation with high-throughput molecular profiles (RNA-seq, ChIP-seq) to pinpoint genes and pathways driving disease progression. His work bridges academic and industry settings—spanning EMBL-EBI, Calico, and the Wellcome Sanger Institute—reflecting fluency in both collaborative large-scale genomics and translational data science. Leland combines rigorous statistical modeling with practical tooling to accelerate target discovery, and his publication record documents a focus on methods that make complex genomic data more interpretable for therapeutic development.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BSc), Computational Biology, Cum Laude with Honors, Bachelor of Science (BSc), Computational Biology, Cum Laude with Honors at Davidson College
Doctor of Philosophy (PhD), Statistical Genetics and Bioinformatics, Doctor of Philosophy (PhD), Statistical Genetics and Bioinformatics at University of Cambridge
Master of Business Administration - MBA, Honors, Master of Business Administration - MBA, Honors at The Wharton School