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Nikhil Garg is an Assistant Professor at Cornell University, affiliated with the Department of Operations Research and Information Engineering, Cornell Tech, and the Jacobs Institute. His research focuses on designing, building, and deploying public interest artificial intelligence systems, along with data-driven decision-making processes. Garg's work spans the intersections of computer science, operations research, data science, economics, and policymaking, particularly in enhancing democratic systems, education, and developing high-stakes recommendation systems. He routinely collaborates with government agencies and non-profits, utilizing real data to tackle significant societal challenges, including addressing disparities in educational access and improving resource allocation in government operations. His recent projects leverage cutting-edge machine learning techniques to enhance societal systems, creating tools like the BlueSky algorithmic feeds for academic networking. Garg has received numerous accolades for his work, including the prestigious NSF CAREER award and recognition by Forbes 30 Under 30 in Science. He completed his PhD at Stanford University, where he was part of the Stanford Crowdsourced Democracy Team, and he also has extensive postdoctoral experience at UC Berkeley EECS.
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