Cristiano Fanelli
Scholar

Cristiano Fanelli

Google Scholar ID: uftZIOYAAAAJ
College of William & Mary
Artificial IntelligenceData ScienceDetectorsMachine LearningNuclear Physics
Citations & Impact
All-time
Citations
16,656
 
H-index
44
 
i10-index
120
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Research Experience
  • Position: Associate Professor of Data Science; Director of Technology
  • Office: Integrated Science Center 1265
Background
  • Areas of Interest: Developing and applying AI/ML algorithms and data science tools for the Jefferson Lab and the Electron Ion Collider science, spanning from design, fast/accurate reconstructions and analyses, to anomaly detection.