Jalaj Upadhyay
Scholar

Jalaj Upadhyay

Google Scholar ID: vHTMzPQAAAAJ
Assistant Professor, Rutgers
Differential PrivacyTheoretical Computer Science
Citations & Impact
All-time
Citations
751
 
H-index
15
 
i10-index
25
 
Publications
20
 
Co-authors
40
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Co-authored a monograph on Correlated Noise Mechanism for Differentially Private Learning; funded by NSF CNS 2433628, Google (Seed Fund grant, Google Research Scholar Award), Dean Research Seed Fund, and Decanal Research Grant.
Research Experience
  • Formerly a senior researcher at Apple, postdoctoral fellow at Johns Hopkins University and Pennsylvania State University; currently an assistant professor at Rutgers University.
Education
  • Ph.D. from the University of Waterloo.
Background
  • Researcher in theoretical computer science; recently developed an interest in mathematical physics and its application in privacy-preserving algorithms.
Miscellany
  • Participates in the Physics of ML reading group run by colleagues in the physics and mathematics departments.