I am passionate about improving policymaking by harnessing the power of data science and artificial intelligence. As a data science manager at the Federal Reserve Board, I lead a team with a diverse project workload that includes research, policy, and operational data and software projects. My personal portfolio includes technology leadership, research efforts, technical expertise, and teaching experience. My research includes work on international trade, graph neural networks, natural language processing, and more. I am experienced with technologies such as PyTorch, TensorFlow, Hadoop, Spark, Impala, spaCy, NLTK, R, and Python.
The views in this website are solely the responsibility of the author and should not be interpreted as reflecting the views of the Board of Governors of the Federal Reserve System or of any other person associated with the Federal Reserve System.
MS in Data Science and Analytics
Georgetown University
BA in Chemistry, Economics, and Mathematics
Vanderbilt University