Summary
Eduardo Escoto is a UC San Diego PhD student and graduate researcher specializing in recommender systems and music information retrieval, advised by Julian McAuley. With nine years of industry and research experience spanning data science and machine learning roles at Noom, Afiniti, and internships at Instacart and UC Santa Barbara, he blends academic rigor with production ML engineering. He has hands-on experience building semantic ID frameworks for multimodal data and applying them to high-value data mining tasks. Eduardo's background in mathematics and statistics underpins a probabilistic, data-driven approach to modeling, and his teaching assistant roles reflect a talent for distilling complex concepts. Based in San Diego, he pairs childlike curiosity—aptly captured by his favorite Vonnegut quote—with pragmatic delivery of research-informed solutions.
9 years of coding experience
7 years of employment as a software developer
University of California, San Diego
Bachelor of Science, Double Major in Mathematics and Probability and Statistics, Bachelor of Science, Double Major in Mathematics and Probability and Statistics at UC Santa Barbara
English, Spanish