Valentina Staneva started as a data scientist at the eScience Institute in March, 2015. Prior to joining University of Washington, she was a PhD student at the Applied Mathematics & Statistics Department at Johns Hopkins University. Her research was with the Center for Imaging Science and was devoted to developing methods for tracking deforming objects in videos and statistical estimation of their dynamics. Valentina has a Bachelors degree in Mathematics from Concord University, and between her undergraduate and graduate studies she spent 1.5 years working at Los Alamos National Laboratory on problems in imaging, optimization and compressed sensing. She has broad interests in extracting information from different types of data, and building tools for it.
- Statistical Modeling & Inference
- Data Analysis
- Image Processing & Computer Vision