I am a computer scientist with an interest in policy issues related to developing responsible artificial intelligence and data science technologies. I am the 2022-23 AAAS Science and Technology Policy fellow at the National Science Foundation’s National Artificial Intelligence (AI) Research Institutes program, which focuses on long-term fundamental and use-inspired AI research towards issues of national importance. As a fellow, I focus on understanding the AI strategies and policies across the federal space and participating in multi-institution and inter-agency efforts in expanding AI infrastructure and access to underserved communities.

I was the 2022 Mirzayan Policy Fellow at the National Academies of Sciences, Engineering, and Medicine, where I contributed to the Committee on National Statistics on aspects of data, privacy, and equity.

I completed my postdoc from the Department of Computer Science, at Dartmouth. As a postdoc, I was awarded a seed grant from the Irving Institute for Energy and Society at Dartmouth to develop computational methods for understanding energy accessibility in developing economies. I completed my Ph.D. in Computer Science from the State University of New York at Buffalo, where my doctoral work was awarded the Chih Foundation Research Award. Before my Ph.D., I was a researcher in the Computer Science and Mathematics Division, at Oak Ridge National Laboratory. I obtained my M.S. in Computer Science from the University of California, Riverside, where I received the Dean’s Distinguished Fellowship.

My research background is building interpretable machine learning models that model scenarios where data comes from heterogeneous sources, emphasizing quantifying uncertainty and understanding biases. I have developed computational methods to map poverty and inequality (PNAS’17, IADB Working Paper’20), to forecast energy deficits given Sustainable Development Goals, to estimate economic well-being (ACM TDS’21), as well as to build secure biometric systems (IEEE TIFS’16, IEEE Access’20). I have also collaborated with the Overseas Development Institute, London, Datapop Alliance, and the Inter-American Development Bank, DC on using novel data and newer methods for human development.