Summary
Jack Humphrey is an Assistant Professor and computational geneticist at Mount Sinai who develops and applies integrative analyses of genetic and transcriptomic data to unravel mechanisms of neurodegenerative diseases such as FTD, ALS, and Alzheimer’s. With 11 years of experience spanning a PhD in Clinical Neuroscience at UCL, postdoctoral work in neurogenetics, and industry experience in computational cancer diagnostics, he combines rigorous statistical programming (R, Python, Bash) with data visualization to turn high-throughput sequencing into biological insight. He leads and mentors a multidisciplinary team, teaches neuroscience outreach courses, and has translated methods into widely used tools and interactive apps during collaborations at Stanford. His work is notable for linking RNA processing and splicing variation to disease biology, and for bridging academic research with practical software development and reproducible analysis. Based in New York, he maintains an active lab webpage and GitHub presence focused on RNA, genomics, and neurodegeneration.
11 years of coding experience
1 year of employment as a software developer
Master's Degree, Brain, Behaviour & Cognition with Synthetic Organic Chemistry, First Class, Master's Degree, Brain, Behaviour & Cognition with Synthetic Organic Chemistry, First Class at University College London, U. of London
University College London
English, Spanish