Giovanni Malloy's passion for leveraging engineering to strengthen societal resilience was ignited while conducting undergraduate research on Ebola response policy with Purdue IE Professor Mario Ventresca. During his PhD work at Stanford, his team published the first estimates of the reproduction ratio of COVID-19 in jails and the first estimation of the effectiveness of mitigation methods in correctional facilities. This work drove policy and inspired prevention recommendations by the National Academies of Sciences, Engineering and Medicine.

Today, he is the chief data scientist at Aerospace Technical Services (ATS), where his work focuses on using AI to bring an end to catastrophic utility-caused wildfires. He leads the development of the Wildfire Analysis and Management (AWRAM) platform, which leverages AI-driven algorithms and diverse datasets to assess wildfire risk across an electric utility service territory. With electrical equipment ignitions on the rise, Malloy says utility companies urgently need a rigorous, data-driven approach to wildfire prevention, and AWRAM fills this critical gap by providing a comprehensive, quantitative framework for decision making. AWRAM can estimate the risk of ignition, predict potential consequences of a wildfire, and quantify the effectiveness of multiple mitigations at the individual asset level.

Malloy, who currently leads the team responsible for ensuring that AWRAM is user-friendly, meets with current and potential clients weekly to assess needs and offer ATS solutions. Recently, he worked with an investor-owned utility in California, where an AWRAM-based analysis helped justify $1 billion+ in wildfire prevention expenditures. He has written more than 20 articles for Forbes - four of which have garnered 10,000+ views each.