Ian Adelstein
Scholar

Ian Adelstein

Google Scholar ID: DJ-dOXsAAAAJ
Dept of Mathematics, Yale University
geometric analysismanifold learning
Citations & Impact
All-time
Citations
100
 
H-index
7
 
i10-index
2
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Research Experience
  • Conducts research in geometric manifold learning with the Krishnaswamy Lab at Yale
  • Works on geometric analysis using variational methods to study closed geodesics
  • Director of the SUMRY REU program at Yale, mentoring undergraduate research in manifold learning and surface geometry
  • Organized the Sampling Theory and Applications (SampTA) conference at Yale
  • Organized a workshop on Geometric and Topological Methods in Data Science at ICERM
  • Organized a workshop on Filling Volumes, Geodesics, and Intrinsic Flat Convergence at Yale
Background
  • Lecturer and Associate Research Scientist in the Mathematics Department at Yale University
  • Associate Director of Undergraduate Studies in the Applied Math department at Yale
  • Research interests include geometric manifold learning and geometric analysis
  • Affiliated with the Krishnaswamy Lab at Yale
  • Member of the Yale Institute for Foundations of Data Science