Burke O’Brien

I’m a data scientist interested in applying rigorous machine learning methods to tell important and compelling narratives. I’m currently interning with the Analytics Innovation team at Altman Solon, a leading strategy consulting firm, where I support their analytics and machine learning capabilities.

With my background in academia and public policy research, I offer a unique perspective and range of experiences applying statistical and machine learning methods to real-life problems.

Outside of work, I enjoy crosswords, playing games with friends, and seeing the city from my bike. Ask me about Boston sports teams, my love of chess, or why I will never again operate a coffee-shop.


Brown University
Master of Science in Data Science 

Brown University
Bachelor of Arts in Economics + International Relations
Let’s Connect
Let’s play chess!
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Economic Cost and Spatial Diffusion of the Opioid Crisis, 2009-18

The ongoing opioid crisis is critically understudied, especially COVID-19 became the most visible public health crisis. In late 2019, the Council of Economic Advisors (CEA) released a brief that put the full cost of the crisis at $2.5 trillion over four years.

As a contributing author to an Economic Perspectives research report, I replicated the CEA methodology to assign the economic, health, and criminal justice costs of the opioid crisis to each U.S. county. Analyzing temporal and geographic changes revealed how the crisis has evolved over time, allowing for more targeted and nuanced policy responses.

→ R (data cleaning, modeling)
→ Data visualization (ggplot, mapping)