Summary
Michael Brightwood is a data consultant and scientist with 10 years of interdisciplinary experience turning messy, connected data into decision-ready models and insights across government, academia, and industry. Now at Vivanti, he specialises in graph analytics, data engineering and AI adoption, helping clients extract value from complex relational structures and deploy production ML responsibly. His background as a PhD ecologist and multiple postdoctoral roles informs a rigorous experimental mindset—he’s built novel ecological monitoring methods and translated that scientific approach into causal inference, uplift modelling and MLOps in commercial settings. At Amused Group he delivered production LTV and churn models, automated ETL into Databricks, and shipped a RAG-based LLM chatbot and self-serve analytics apps, demonstrating both engineering delivery and product-focused thinking. Comfortable briefing executives or mentoring juniors, he bridges technical depth (Python, SQL, R, cloud platforms) with clear storytelling for stakeholders. Unexpectedly, his career shows a repeated talent for designing practical surveillance and benchmarking simulations that satisfy both regulators and industry.
10 years of coding experience
3 years of employment as a software developer
Australian National University
UNSW Sydney