Summary
Vincent Pisano is a data scientist based in Boston with eight years of experience at the intersection of clinical trials, CNS/psychiatry drug development, and healthcare product analytics. He combines domain expertise in addiction medicine and multi-site clinical study operations with practical skills in machine learning, NLP (including BERT for PHI masking), and scalable data infrastructure. Vincent has built validated pipelines for CDISC-compliant SDTM/ADaM generation, led claims-based physician modeling at scale, and launched production search and analytics systems supporting clinical and commercial teams. Comfortable moving between research, regulatory-facing clinical data work, and product-driven engineering, he brings a rare blend of bench-to-deployment experience rooted in biology (BS) and machine learning (MS). An understated strength is his track record of turning complex clinical requirements into automated, auditable data workflows that accelerate decision-making.
8 years of coding experience
8 years of employment as a software developer
Master of Computer Science, Machine Learning, Master of Computer Science, Machine Learning at Georgia Institute of Technology
High school diploma, High school diploma at Westford Academy
BS, Biology, BS, Biology at Northeastern University