Irina Kukuyeva, Ph.D.

Work Experience

   Data Science Consultant with over 10 years of experience contributing to 
   projects in healthcare, market research, online advertising and remote

   sensing. My strengths are improving and/or developing solutions and
   working as a liaison between the technical and business/clinical 
stakeholders to solve business problems.

Consulting Services

   My rates depend on the service offered. If interested, please contact me
with an overview of your project and
your meeting preferences.

   University of California, Los Angeles
Ph.D., M.S. in Statistics    
       B.A. and S. in Statistics and Economics, Minor in Mathematics
  • PhD thesis proposed a new dimension reduction technique called Tensor Independent Component Analysis (TICA) that reduces the volume and noise in high dimensional data sets (which data sets are best represented by 3D, 4D, etc. objects, not matrices). One application of the methodology developed is remote sensing, where observations are described by longitude, latitude and wavelength. We focus on analyzing remotely sensed multispectral images of the White Oval on Jupiter (captured by the Hubble Space Telescope and the Infrared Telescope Facility). TICA uncovers similarities in temperature gradients between the White Oval and the Great Red Spot.
  • Spatial statistics: Project 1 (2008), Project 2 (2009)
  • Nonparameteric statistics and remote sensing: Project (2009), PhD thesis (2012)