Nic F. is a Doctoral Student at Harvard University since September 2023 and has extensive research experience across various institutions. As a Research Fellow at Northwestern University’s Kellogg School of Management, Nic F. has synthesized international datasets related to scientific funding and developed innovative methods for topic modeling scientific abstracts. Additional roles include a Research Fellow at the Institute for Quantitative Social Science, where Nic F. constructed Bayesian frameworks for causal inference, and as a Data Scientist at Data for Progress, leading efforts in accurate polling methodologies. Previous internships and fellowships at Google and MIT focused on applications of machine learning and fairness in economic modeling. Nic F.'s educational background includes a Bachelor's degree in Computer Science and Sociology with Honors from Stanford University, a Master's by Research in Statistics from the University of Oxford, and ongoing doctoral studies at Harvard.
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