Daniel Sheldon
Scholar

Daniel Sheldon

Google Scholar ID: P1bHFuoAAAAJ
University of Massachusetts Amherst
Machine LearningNetwork AnalysisComputational EcologySustainability
Citations & Impact
All-time
Citations
4,535
 
H-index
34
 
i10-index
73
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Research Experience
  • Currently a professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. Previously had a joint appointment at Mount Holyoke College.
Education
  • Received a Ph.D. in Computer Science from Cornell University. Was a postdoc at Oregon State University, holding a National Science Foundation postdoctoral fellowship in Bioinformatics.
Background
  • Research interests include developing new Bayesian models and inference algorithms to solve a range of problems, especially in applied sciences; investigating practical and principled approaches for differentially private data analysis, such as synthetic data generation and statistical inference; using machine learning, AI, and statistics to solve problems in ecology and conservation, especially large-scale modeling of bird migration.
Co-authors
0 total
Co-authors: 0 (list not available)