Summary
Andrew Nelson is a Head of Machine Learning and founder-level AI engineer with a PhD and a decade of experience translating research-grade inference and systems work into production-ready products. He blends deep technical craftsmanship—from custom microscopes and CUDA kernels to cloud-native Python/TypeScript stacks—with strategic leadership, advising founders and executives on responsibly shipping AI in privacy- and risk-sensitive domains. As founder of Daleego and former CTO of Sandbox Wealth, he has hands-on experience building secure, observable ML systems, shaping roadmaps, and moving teams from experimentation to measurable outcomes. Comfortable at the intersection of research, engineering, and product, he’s known for turning ambiguous AI ambition into defensible, executable plans and for bringing lab-grade rigor to noisy real-world data problems.
8 years of coding experience
18 years of employment as a software developer
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at The College of William and Mary
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of Maine
Weill Cornell Graduate School of Medical Sciences
Spanish, English