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I am a mechanician with profound interest in the potentially transformative impact of machine intelligence on the field of mechanics. My career goal is a data-driven and artificially intelligent approach to the modeling and design of programmable smart structures. I envision application of machine learning algorithms and an autonomous robotic framework to characterize, enhance, control, and apply the mechanical properties and instabilities of complex materials and metamaterials.
I am a postdoctoral fellow at Integrated Soft Materials Lab for Human-compatible Machines and Electronics at Carnegie Mellon University. My research is focused on modeling the mechanics of soft robots. I received my PhD in 2016 from the Department of Mechanical Engineering at Massachusetts Institute of Technology; I did my doctoral research at Elasticity, Geometry and Statistics Laboratory. The topic of my PhD thesis was geometric nonlinearities in elastic rods (human hair, oil pipeline, bacterial flagella and so on) where I brought together experiments and simulations towards a predictive understanding of their mechanics. I received my Master’s degree in Mechanical Engineering from MIT in 2014. I hold a dual Bachelor’s degree (class of 2012) in Aerospace Engineering and Engineering Physics and a minor in Mathematics from the University of Michigan, Ann Arbor.