Summary
Joe Cincotta is a data scientist and technical consultant with 11 years of multidisciplinary experience building AI-driven solutions across conservation, healthcare, and finance. Currently driving machine learning research at Taronga Conservation Society and teaching AI ethics at UNSW, he focuses on mapping animal cognition and applying ethical AI to improve welfare and conservation outcomes. He pairs deep learning and computational research with full-stack engineering experience from roles at Macquarie Group and his long-running digital agency background, enabling both research-grade models and production-ready systems. Joe holds advanced research training in AI and animal behaviour from UNSW and a practical Master of Data Science, and he brings a rare blend of creative design, low-level tinkering (occasional 6502), and operational leadership to complex projects.
11 years of coding experience
27 years of employment as a software developer
BCA, Fine Arts, Graphic Design, BCA, Fine Arts, Graphic Design at University of Wollongong
Master of Data Science, (Switched from Coursework to Research at UNSW in 2023), Master of Data Science, (Switched from Coursework to Research at UNSW in 2023) at La Trobe University
UNSW Sydney