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Elena Belavina is an Associate Professor at Cornell Tech, focusing on sustainable food systems and the intersections of technology and food waste management. Her recent collaborations with startups and established companies have explored the adoption of computer-vision-enabled technology in commercial kitchens to mitigate food waste. Belavina develops machine-learning-based classifiers that detect issues within food production systems. She has previously analyzed the grocery industry's structural and pricing policies, their environmental impact, and the implications of online grocery shopping on food waste. Her work includes the design of bike-share systems and research on sustainable sourcing practices, relational contracts, and the role of intermediaries in supply networks. Methodologically, her research combines holistic analyses of logistic economic systems with econometric assessments of large datasets, aiming to inform policy improvements and system enhancements through machine learning applications. Before her tenure at Cornell University, she was a faculty member at the Booth School of Business at the University of Chicago. Belavina holds a PhD from INSEAD and both bachelor's and master's degrees in applied mathematics and physics from the Moscow Institute of Physics and Technology.
Department of Architecture