Michael Frederikse is an investment analyst in the custom income strategies
(CIS) group at Loomis, Sayles & Company. In this role, he focuses on the group’s
work in the areas of buy & maintain, insurance solutions, separately managed
accounts and cash flow matching. Michael joined Loomis Sayles in 2017 as a
machine learning engineer in the technology department, where he led the
artificial intelligence and machine learning group, developing tools, algorithms
and strategies to complement the investment processes for all teams at Loomis
Sayles. He joined the CIS group in 2021. Previously, Michael was the lead data
scientists at Pattern, Inc. He earned a BS from Brandeis University.