
Dr. Sanaz Kazemi
Welcome to my homepage!
I am a data science lead with background in mathematics and statistics. My expertise are mainly in design, development, implementation, and evaluation of data processing and machine learning methods for transforming real-world data into information and knowledge.
I did my PhD studies in applied mathematics, with orientation towards signal processing, at Kapteyn Astronomical Institute of University of Groningen in the Netherlands. During my PhD studies, I did a comprehensive investigation on LOFAR (the LOw Frequency Array) calibration and imaging techniques, as a core scientific member of its key science project LOFAR EoR (Epoch of Re-ionization).
I also did a postdoc in statistics and image processing with the objective of technology roadmap development for SKA (the Square Kilometer Array), the world's largest radio sensor array, while I was working for the DOME project as an advisory research and development scientist of the IBM Netherlands based in ASTRON and IBM center for Exascale technology. In this project, I was a member of "novel algorithms" team of IBM research-Zurich too, architecting innovative advanced data science solutions in information, manufacturing, medical, and multi-disciplinary research industries.