Carlos Fernandez-Granda
Scholar

Carlos Fernandez-Granda

Google Scholar ID: GX-PtukAAAAJ
Courant Institute and Center for Data Science, New York University
machine learningimage processingdata-driven medicinesignal processinginverse problems
Citations & Impact
All-time
Citations
6,537
 
H-index
27
 
i10-index
40
 
Publications
20
 
Co-authors
30
list available
Resume (English only)
Background
  • Associate Professor of Mathematics and Data Science at the Courant Institute of Mathematical Sciences and Center for Data Science, New York University
  • Interim Director, Center for Data Science
  • Research goal is to design and analyze data-science methodology
  • Current focus: machine learning and its applications in medicine, climate science, and scientific imaging
  • Member of the Math and Data group and the M2LInES project