Summary
Lorenzo Rossi is a Senior Data Scientist with 11 years of experience applying machine learning to healthcare, wearable computing, and text analysis, backed by a PhD in Electrical Engineering from USC. He led development and EHR integration of a mortality risk model at City of Hope that has been embedded in five clinical decision support workflows since 2021, making it the organization’s most-used AI. Lorenzo combines rigorous signal-processing and sensor-network research with pragmatic production deployment, moving models from peer-reviewed publications into everyday clinical use. Now based in Los Angeles and currently at Keck Medicine of USC, he balances academic depth with operational impact across inpatient and outpatient settings. An underappreciated strength is his long-standing work on ubiquitous computing, which informs robust, real-world sensing solutions beyond typical healthcare ML models.
11 years of coding experience
11 years of employment as a software developer
Ph.D. Electrical Engineering, Ph.D. Electrical Engineering at University of Southern California
English, Italian