About me

I am an assistant policy researcher at RAND Corporation, a Ph.D. candidate at Pardee RAND Graduate School, an Adjunct Instructor at USC Sol Price School of Public Policy, and a visiting graduate student at Argonne National Laboratory.

My recent research uses modeling to inform health policy. Most of my recent work focused on pressing COVID-19 policy questions. My work generated recommendations for crafting COVID-19 reopening plans, based on a stress-test of COVID-19 reopening strategies. I also helped build RAND’s COVID-19 Policy Tool, which became RAND’s most popular research of 2020. I am passionate about tackling complex and deeply uncertain policy questions with modeling and computing.

I also teach statistics at USC Sol Price School of Public Policy. Prior to coming to the US, I was a lecturer at UNISINOS, where I taught simulation modeling and other courses in engineering and management programs. Besides teaching and doing research, I enjoy working on consulting projects with a modeling component.

Here you will find links to my recent publications, tools and software I helped to build and more. If you find any of this interesting and want to connect, follow me on twitter or get in touch!


My recent research leverages modeling and Decision Under Deep Uncertainty methods to inform pressing health policy decision-analytic problems.

Recent & Upcoming Presentations

Here you will find links to past or upcoming presentations.

Policy Responses to the COVID-19 Pandemic
Seeking Robust COVID-19 Response and Adaptation Strategies
COVID-19 and Deep Uncertainty

Let’s Connect!

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