I am researching in cognitive science to pursue my interests in reverse-engineering intelligence. My project in Josh Tenenbaum's Computational Cognitive Science lab has been computational modeling of intuitive physics: How are we able to make rich predictions and inferences about the dynamics of different materials in our environment, from rigid objects to liquids? For example, how can you tell that a stack of blocks or dishes is precarious or stable? How do you know that liquid will (or won't) slosh out of your glass when bumped? I received my degree in mechanical engineering from Purdue University in 2012. I will begin my PhD in September, 2015.