Scholar
Ian Adelstein
Google Scholar ID: DJ-dOXsAAAAJ
Dept of Mathematics, Yale University
Citations & Impact
Citations
100
H-index
7
i10-index
2
Publications
20
Co-authors
8
list available
Contact
Publications
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
