Summary
Luis Saldaña is a Staff Data Scientist in New York with a PhD in particle physics and a decade of experience translating complex scientific methods into business-impacting ML solutions. He led ML teams in high-stakes academic experiments—pioneering deep learning event-reconstruction for cyclotron radiation spectroscopy—and now drives data-driven strategy and CLV modeling at Estée Lauder using Bayesian and ML frameworks. Luis has a track record of integrating diverse data sources (similarweb, Comscore, transactional credit-card data) to create consolidated market-share intelligence and built tooling that spans APIs, SQL systems, and production analytics dashboards. He also contributed to early Generative AI benchmarking and R&D for sales-assist tools, bridging research rigor with product delivery. Notably, his research produced novel loss functions and an open-source Monte Carlo simulation used to generate large labeled datasets for ML, demonstrating an uncommon blend of physics-grade experimentation and commercial analytics.
10 years of coding experience
11 years of employment as a software developer
Massachusetts Institute of Technology
Bachelor of Science - BS, Physics, GPA 4.0 / 4.0, Bachelor of Science - BS, Physics, GPA 4.0 / 4.0 at Georgia Institute of Technology
Doctor of Philosophy - Ph.D., Physics, Doctor of Philosophy - Ph.D., Physics at Yale University
English, Spanish, Japanese, Chinese