Gabe True

Gabe True is passionate about leveraging data, mathematics, and machine learning to support informed decision-making. He enjoys solving complex problems with practical, data-driven approaches and building models that deliver tangible impact.

He has applied a broad range of machine learning and analytical techniques—including supervised learning, clustering, natural language processing, and simulation-based optimization—across industries such as education, venture capital, and maritime transportation. His work includes developing predictive models, deploying cloud-based AI pipelines, and using Monte Carlo simulations and portfolio optimization to support decision-making under uncertainty. Gabe holds a BA in Computer Science and Economics from the University of Chicago, where he specialized in machine learning and data science.

He is passionate about continuous learning and enjoys exploring new tools and methods to solve problems. Outside of work, Gabe spends time exploring Atlanta, traveling, and listening to music—and hopes to learn piano someday.