Summary
Leana Copeland is a quantitative user experience researcher with a PhD in computer science and nine years’ experience applying rigorous experimental design and statistical analysis to product problems, currently working at Google in the Greater Sydney area. She blends deep HCI expertise with practical data science and Python-based analytics, having introduced a Python analytics capability at the Australian Taxation Office to baseline and track UX improvements. Leana runs and designs a wide range of studies—eye tracking, controlled lab experiments, remote unmoderated tests, surveys—and translates complex physiological and behavioural data into clear, actionable insights for stakeholders. Comfortable prototyping in web technologies (Django/Flask, HTML/JS/CSS), she also has a track record of teaching and outreach, including international lecturing and STEM engagement. Her work sits at the intersection of rigorous measurement and human-centred product change, with a particular interest in leveraging ML and data science to surface user needs.
9 years of coding experience
3 years of employment as a software developer
Australian National University
English