Researchers studying artificial intelligence training data, better predictions of extreme weather events and treatment of swelling linked to breast cancer are among the eight Cornell assistant professors who recently received National Science Foundation Faculty Early Career Development Awards.

Each will receive a minimum of $400,000 over five years from the program, which supports early-career faculty “who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. Each funded project must include an educational component.

Recent recipients from Cornell:

Nikhil Garg, from the Jacobs Institute at Cornell Tech, and the School of Operations Research and Information Engineering (Cornell Engineering), will use his award to improve public interest decision-making. He will develop statistical methods to engineer more efficient, transparent public interest systems that account for missing information and heterogeneous behavior. The research will contribute methods for general Bayesian inference, optimization, machine learning and data-driven decision-making, applied to auditing and engineering systems in public interest settings such as education, health and government broadly. This knowledge will help allocate resources where they are most needed. The project will also educate data scientists and researchers for the public interest by providing continuing education and publicly available resources for municipal technology workers and open data hobbyists.

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