As a data science engineer, David develops code that powers AIM’s investment models. He focuses on optimization and feature-engineering to help enhance AIM’s Decathlon strategies while also contributing to the design and development of new machine-learning-based financial products. Additionally, he contributes quantitative market research through data visualization and statistical analysis and is a member of the firm’s Investment Committee.

David interned with AIM in 2022 and 2023, and began with the firm full-time in August 2023 after graduating magna cum laude with Bachelor’s Degrees in Computer Science and Economics from Boston College.