Summary
Michael Iannelli is a Principal Data Scientist with a Ph.D. in Theoretic Cloud Computing and over a decade of hands-on experience building ML systems that bridge research and product. He has led data science teams at Yext and now Scrunch, specializing in graph representation learning, search, and AI-driven discovery to unlock business value. His background includes novel research on embeddings for dynamic graphs and hypergraphs at the U.S. Naval Research Laboratory, plus practical large-scale feature engineering with BigQuery and Spark in industry. He pairs academic rigor with product instincts, having taught CS courses and built department-wide data tooling earlier in his career. Based in New York, he is known for turning complex network science into deployable solutions that improve search and recommendation outcomes.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at The City College of New York
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The Graduate Center, City University of New York
English, Italian, Russian