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Darya Dyachkova graduated from Minerva Schools at Keck Graduate Institute in May 2020. She studied data science & statistics and physics. Her bachelor thesis was related to the application of deep learning to study image-based regressions for predicting energy deposits of boosted particle jets in CMS calorimeter. Her primary research interests for the Wolfram Summer Program are searching for elementary particles with Wolfram models, exploring the connections with the superstring theory and studying the early cosmological inflation.