David is the Vice President, Data Sciences, of Indigo. In this position, David leads the computational biology and data science initiatives at the company, including automated strain prediction, machine learning, microbial metagenomic analysis, systems biology, transcriptomics, proteomics, metabolomics, high-throughput screening visualization and analysis, and field trial statistical analysis.

A data scientist and computational biologist with over 35 years of experience in computer science, David co-founded a successful consulting firm in 1980, focusing on software strategy and design, quantitative finance and investment systems, compiler and language tools, and distributed system architecture.

From 2005-2011, David paused his career to earn a Ph.D. in Molecular Biology at University of Massachusetts Boston (UMB), studying at the intersection of molecular biology, machine learning, and applied mathematics.

"Indigo gave me a stunning challenge: Build a unique computational platform that focuses large-scale machine learning and bioinformatics on plant-microbe interactions, and discover multiple generations of breakthrough agricultural products. That challenge, along with the critical need to sustain the world’s population with natural, healthy foods, made the decision to join Indigo a powerfully compelling career choice."

Meet the Rest of the Team