Summary
Sean Mclaughlin is a Senior Data Scientist with 11 years of experience translating advanced statistical research into production-grade ML systems, currently building data-driven products at Blue Rose Research after roles at Nova Credit and Very. He pairs a PhD in astrophysics from Stanford with hands-on expertise in Bayesian methods, Gaussian processes, computer vision (CNNs and adversarial techniques), and deep learning frameworks like PyTorch and TensorFlow. Sean specializes in cashflow underwriting models and end-to-end data engineering pipelines, bridging research rigor and agile software practices to deploy robust, scalable models. His background in cosmology and scalable astronomical-image inference projects gives him a unique edge in designing statistically principled solutions for noisy, real-world data.
11 years of coding experience