Schedule and Resource Optimization Across Wide Timescale Workflows

23andMe Mathematics, 2019-20

Liaison(s): Arnold de Leon ’90
Advisor(s): Alfonso Castro
Students(s): Samuel Tan (PM), Michael Gao, Alberto Garcia, Prakarsh Pandey

23andMe is a leader and founder in individualized, personalized genomics. The company’s primary product is a genetic testing kit that provides health and ancestry information given a sample of saliva. The goal of this project is to optimize the decision-making process through which such kits are shipped to customers. To that end, we developed a production-ready API which helps the company decide which shipping avenues to take to save costs while ensuring deliveries are made on time.