Summary
Salvatore Giorgi is a research-focused data scientist and software developer with 11 years of experience applying NLP and machine learning to social media to predict health, risky behavior, and well-being. Currently a Researcher C at NIDA and affiliated with the University of Pennsylvania, he blends academic rigor from his PhD work with hands-on engineering—building large-scale data collection pipelines, administering Hadoop clusters, and developing applications for crowd-sourced experiments. His background spans computational social science, signal-processing–informed engineering (MS/BS in electrical engineering), and practical software development at organizations like the Linguistic Data Consortium. Known for turning noisy social data into actionable insights, he operates at the intersection of public health and scalable data systems, often tackling problems that require both statistical depth and production-grade tooling.
11 years of coding experience
7 years of employment as a software developer
Master of Science (MS) Electrical Engineering, Master of Science (MS) Electrical Engineering at Temple University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Pennsylvania