Summary
Peter Lawson is a Data and Visualization Librarian and Ph.D. computational scientist with 11 years of experience helping researchers translate complex biomedical data into reproducible analyses and publication-ready visualizations. Based at Johns Hopkins, he blends a biomedical engineering background with hands-on skills in image analysis, R-Shiny dashboards, REST APIs, and reproducible research practices to support end-to-end research workflows. His work includes deploying digital pathology platforms, implementing metadata and data management systems consistent with FAIR principles, and teaching foundational computing through The Carpentries. Peter uniquely pairs startup CTO experience—where he led GPU-accelerated image processing and product development—with academic research in topological data analysis of cancer histology, making him equally fluent with production systems and cutting-edge analytics.
11 years of coding experience
10 years of employment as a software developer
Y Combinator
B.S. Biology, B.S. Computer Science, Minor Philosophy, Computer Science, B.S. Biology, B.S. Computer Science, Minor Philosophy, Computer Science at University of North Carolina at Wilmington
PhD Bioinnovation - NSF IGERT Fellow, PhD Bioinnovation - NSF IGERT Fellow at Tulane University
Associate's degree, Bioenvironmental Engineering, Associate's degree, Bioenvironmental Engineering at Community College of the Air Force
English