Felix Jimenez
Scholar

Felix Jimenez

Google Scholar ID: UHY-7YkAAAAJ
Amazon
Machine LearningBayesian InferenceUncertainty Quantification
Citations & Impact
All-time
Citations
133
 
H-index
4
 
i10-index
3
 
Publications
8
 
Co-authors
1
list available
Resume (English only)
Research Experience
  • Worked in the Statistical Engineering Division at the National Institute of Standards and Technology (NIST); during his Ph.D., interned at Microsoft Research New England and Toyota Research Institute.
Education
  • Completed a combined B.S./M.S. in Applied Math from the University of Colorado Boulder in May 2018; then, completed a Ph.D. in statistics at the University of Wisconsin–Madison, where he worked with Professor Matthias Katzfuss.
Background
  • Research interests include Bayesian optimization, uncertainty quantification, and approximate posterior inference. Works as an Applied Scientist at AWS on palm recognition for Amazon One.
Miscellany
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