About:
Ph.D. graduate in electrical and computer engineering with a strong background in statistical learning, compressed sensing, graph signal processing, and optimization and +9 years of data science and research-and-development experience in industry and academia.
Currently, I am developing data models that enable integration of heterogenous data sources and facilitate data visualization in the context of open research data/FAIR data principles.
From my signal processing background, my research interests include variational inequalities and self-supervised representation learning with applications to imaging inverse problems and graph machine learning.