Email:
akgoldbe [at] cs.cmu.edu
I am a fifth year PhD student in the Computer Science Department at Carnegie Mellon University, where I am advised by Giulia Fanti and Nihar B. Shah. I am supported in part by an NSF Graduate Research Fellowship. I am broadly interested in methods to improve decision making from distributed human evaluations. One application area I have considered extensively is scientific peer review.
My current research focuses on two main areas. First, I work on leveraging AI and statistical tools to enhance the quality and fairness of review processes. Second, I develop methods for privacy-preserving data sharing of non-tabular data like graphs and time-series, which can enable more transparency into review processes while preserving participant anonymity.
Prior to CMU, I received my A.B. in Applied Mathematics from Harvard College where I was lucky to work with Salil Vadhan. As an undergrad, I did research on differentially private inference for models of random graphs. Before beginning my PhD, I spent three years working as a data scientist at Facebook on ads transparency and integrity.