Summary
Nicholas Socci is a computational scientist and bioinformatics leader with over a decade of experience directing large-scale genomics and cancer informatics efforts. As Director of the Bioinformatics Core at Memorial Sloan Kettering Cancer Center and CSO of Pyrodigm, he manages teams building genomic pipelines, research applications, and high-performance computing resources that support institution-wide discovery. Trained as a physicist (Harvard AB, UC Berkeley PhD), he brings a quantitative, systems-level approach to statistical methodology and machine learning applied to complex biological datasets. His career bridges academia, industry, and national labs—translating theoretical biophysics and computational methods into practical tools for cancer research. Notably, he combines hands-on pipeline deployment with strategic oversight, ensuring reproducible, production-ready analyses that inform translational science.
11 years of coding experience
8 years of employment as a software developer
PhD Physics, PhD Physics at University of California, Berkeley
A.B. Physics, A.B. Physics at Harvard University
English