Herb Susmann is a software developer with a background in mathematics, statistics, and computer science. He is currently developing DERBI – the Digital Exposure Report-Back Interface – which is a tool for creating personalized chemical exposure reports so that participants in biomonitoring and other environmental exposure studies can learn their own results and what they mean.
Susmann graduated with a degree in Mathematics from SUNY Geneseo, where he conducted research in computational epidemiology, specifically the spread of influenza in theoretical populations. For fun, Susmann worked with a friend to build his own EEG machine -- a brain wave reader! -- from scratch using open source schematics. During his time at college, Susmann also participated in the National Science Foundation Research Experience for Undergraduates at Virginia Tech in which he worked on building a computational framework for converting between agent based and difference equation mathematical modeling paradigms.