As the coronavirus pandemic has brought the workforce online, organizations are struggling to manage dynamic remote workloads. On Thursday, a team of data scientists led by a Purdue University professor, Somali Chaterji, introduced a solution called OPTIMUSCLOUD. This new software technology, which runs with a database server, harnesses machine learning to create algorithms to improve the efficiency of virtual machine selection and options for database management systems. The system is designed to help organizations reap the greatest benefit from cloud-based databases. Chaterji directs the Innovatory for Cells and Neural Machines and teaches agricultural and biological engineering.