David Eriksson
Scholar

David Eriksson

Google Scholar ID: SWQjkN4AAAAJ
Research Scientist Manager at Meta
Bayesian optimizationGaussian processesMachine Learning
Citations & Impact
All-time
Citations
2,705
 
H-index
17
 
i10-index
19
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Publications: Multiple papers accepted at top conferences such as NeurIPS, AISTATS, UAI; Organized the NeurIPS 2020 black-box optimization competition; Served as an Area Chair for AISTATS 2024.
Research Experience
  • Currently a Research Scientist Manager at Meta, managing a team of research scientists focusing on AutoML. Previously, he was a Sr. Research Scientist at Uber AI Labs.
Education
  • Ph.D. in Applied Mathematics from Cornell University, advised by Professor David Bindel.
Background
  • Research Interests: Machine learning, with a focus on Bayesian optimization and Gaussian processes. His work has primarily focused on scaling these methods to complex high-dimensional problems.