Miguel González-Duque
Scholar

Miguel González-Duque

Google Scholar ID: eje0FAYAAAAJ
dbtune
Gaussian ProcessesBayesian OptimizationRepresentation LearningDifferential Geometry
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
382
 
H-index
9
 
i10-index
8
 
Publications
18
 
Co-authors
0
 
Contact
GitHubOpen ↗LinkedInOpen ↗
Publications
1 items
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
2025
Cited
0
Resume
Academic Achievements
  • For a complete list of publications, check his Google Scholar profile.
Research Experience
  • Senior Machine Learning Engineer at DBTune (2025-current); Machine Learning Engineer at the Center for Basic Machine Learning Research in Life Science, working with Wouter Boomsma and Søren Hauberg (2023-2024); PhD Fellow at the Creative AI Lab (2019-2023); PhD Sabbatical at the Bosch Center for AI, working on using Gaussian Processes for representation and regression of robotic data (6 months in 2022).
Education
  • Mathematician from the Universidad Nacional de Colombia; PhD from the IT University of Copenhagen, supervised by Sebastian Risi and Søren Hauberg.
Background
  • Interested in applications of probabilistic modeling, geometry, and optimization.
Miscellany
  • Some of his projects can be found on his GitHub profile.