Summary
Tissot Tissot is a Teaching Faculty and Senior Data Architect/Data Scientist with 30+ years of experience turning messy, siloed data into operational insight across healthcare, government, telecom, and manufacturing. He combines academic rigor (PhD in Computer Science and postdoctoral work in NLP/temporal information extraction) with hands-on enterprise systems design, predictive modeling, and synthetic data techniques to solve high-stakes problems like personalized treatment prediction and fraud detection. His work spans universities and industry—leading research engineering at UPenn, senior fellowships at UCL and Macquarie, and teaching roles dating back to the 1990s—so he blends pedagogy, research, and delivery. He emphasizes building models that fit operational, regulatory, and human workflows rather than research artifacts alone, and has guided cross-functional teams and mentored students and practitioners. Notably, he has applied NLP on clinical notes to extract temporal information and designed sampling strategies for synthetic data to protect privacy while enabling analytics. Based in Greater Philadelphia, he focuses on making data actionable and aligned to strategic decision-making.
8 years of coding experience
13 years of employment as a software developer
Master's Degree, Production Engineering, Master's Degree, Production Engineering at Universidade Federal de Santa Catarina
Academic Visitor, Natural Language Processing, Information Extraction from Clinical Notes, Academic Visitor, Natural Language Processing, Information Extraction from Clinical Notes at The University of Sheffield
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Universidade Federal do Paraná
Postdoctoral Research, Natural Language Processing - Temporal Information Extraction, Postdoctoral Research, Natural Language Processing - Temporal Information Extraction at Macquarie University
English, Spanish, Portuguese