Proud New Yorker!
My main CS interests are software performance and scalability, and IR algorithms.
My main mathematical interest is analysis, particularly harmonic analysis (in the broadest sense); in data science, this translates to problems involving time series analysis and others amenable to spectral methods.
Service-wise, I've been a Lesbians Who Tech Technology & Innovation Fellow twice, first on the #transneeds project to understand how the federal government can better serve the transgender community, and subsequently on Eviction& to analyze the spatial and temporal patterns of evictions in Houston in order to figure out how best to distribute grants to help people stay in their homes.
Career-wise, I've been at Google since 2017 working on public statistics in search, making economic and demographic indicators easy to find and explore/visualize. Before that, I worked at Bloomberg LP for 7 years on SOA app dev for portfolio analytics software. Prior to that, I was at IBM for 12 years, working primarily on software portability.