Summary
Caleb Schultz is a Brown University senior studying Artificial Intelligence and Computational Neuroscience who applies machine learning to real-world biomedical and social challenges. With 11 years of experience across research labs, startups, nonprofits, and policy work, he has built scalable ML pipelines and deep-learning models—ranging from single-cell transcriptomics at the Allen Institute to CNNs on ECoG data and an AGX Orin pipeline for motion analysis. He’s developed multi-agent chatbot tooling for drug discovery and interns as an AI engineer at Docs for Health while serving a two-year Social Innovation Fellowship to translate entrepreneurship into community impact. Caleb blends technical fluency (PyTorch, scVI, Slurm/HPC, LangChain) with leadership: founding and running a statewide student gun-violence-prevention chapter and managing nonprofit operations. He’s comfortable moving between code, cloud, and the community, and brings an unusually broad view of translational AI—from pupilometry markers of early Alzheimer’s to policy advocacy and voter engagement.
11 years of coding experience
3 years of employment as a software developer
Barrington High School
Bachelor of Science - BS, Computational Neuroscience, Entrepreneurship, Bachelor of Science - BS, Computational Neuroscience, Entrepreneurship at Brown University