Summary
Delano Mcfarlane is a New York–based consultant, researcher, and advisor with 14 years of experience building data-driven software and machine learning systems across fintech, consumer, and public health domains. He blends an MEng from MIT and advanced biomedical informatics training from Columbia with hands-on leadership roles—from Head of Engineering/Data Science at Venmo to Engineering & Data Lead at Gabbi—to translate research into production analytics and personalized applications. His work spans personalized news, financial research tooling, and sports prediction, and he routinely advises startups and boards on data strategy and engineering best practices. Known for "building data things," he combines deep technical breadth with domain fluency in medical/public health informatics, a background that informs more rigorous, privacy-aware approaches to ML and product design.
14 years of coding experience
11 years of employment as a software developer
MEng Computer Science, MEng Computer Science at Massachusetts Institute of Technology
PhD Biomedical Informatics, PhD Biomedical Informatics at Columbia University
English