Cade is our Quantitative Research Scientist at Passage Global Capital Management. Cade focuses on the application of mathematical and statistical methods in our models, leveraging computational approaches throughout the entire research lifecycle—from conceptual development to live execution. He also builds and maintains a robust technical infrastructure. This work supports the firm’s data-driven processes and helps drive the core of the firm’s algorithmic decision-making around equities and emerging digital assets. His efforts help ensure that the firm’s quantitative initiatives are both adaptable and analytically sound, reflecting Passage Global Capital Management’s commitment to methodical strategic development. Cade joined Passage Global Capital Management as an intern in 2022 while studying computational and applied mathematics and has been with the firm since.
Cade holds a Bachelor of Science degree in Mathematics from the University of Chicago.