Dvorkin is the Harvard Representative at the newly NSF-funded Institute for Artificial Intelligence and Fundamental Interactions (IAIFI)'s Board.
In 2020, Dvorkin gave a talk on machine learning applied to the search for dark matter as part of the TEDx Río de la Plata event.
She moved to the University of Chicago for her graduate studies, where she earned her Ph.D. in the department of physics in 2011 and where she won the "Sydney Bloomenthal Fellowship" for "outstandung performance in her research".
[11] She has also constructed new theoretical templates for higher-order correlation functions of the initial curvature perturbations that could shed light on the physical properties of particles with non-zero spin during inflation as well as possible phase transitions during the early universe.
She developed statistical tools to look for these correlation functions in the Cosmic Microwave Background and the large-scale structure data measured by current and future surveys.