Summary
Grace Zhang is a Senior Data Scientist with 12 years of experience who recently transitioned from a PhD in Mathematics into industry roles focused on modeling, data assimilation, and applied machine learning. Based in New York, she has delivered R&D work on deep neural network–based assimilation of Earth observation signals and built scalable geospatial pipelines handling millions of points using cloud and parallel computing. Her background blends rigorous mathematical theory, time-series and forecasting expertise from industry-focused bootcamps, and a track record of interdisciplinary collaboration across environmental, logistics, and public-health domains. Notable for translating abstract research into practical tools, she pairs strong documentation/version-control practices with clear cross-team communication to move early-phase projects toward production.
12 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Minnesota
High School Diploma, High School Diploma at Monta Vista High School
Bachelor of Arts - BA, Double Major: Mathematics & Logic, Information, and Computation, Bachelor of Arts - BA, Double Major: Mathematics & Logic, Information, and Computation at University of Pennsylvania