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Joshua has been a data & software engineer who implemented scalable, parallelized, concurrent, and distributed stochastic simulation software for digital twin implementations and sociotechnical system design of the decentralized web. He also implemented machine learning enabled big data processing solutions for viewership forecasting in AdTech, a cross-disciplinary data product for supply chain management, and conducted machine learning research enabling the prediction of student performance in online courses. Joshua enjoys trying new cuisine, applying research, emerging technologies, and implementing scalable distributed systems on cloud platforms to solve complex problems with cross-disciplinary teams.