Ashish Goel
Scholar

Ashish Goel

Google Scholar ID: B_rKfusAAAAJ
Professor of Management Science and Engineering, and by courtesy, Computer Science, Stanford University
Design and Analysis of AlgorithmsSocial NetworksInternet CommerceLarge Scale DemocracyNetwork Analysis
Citations & Impact
All-time
Citations
4,106
 
H-index
30
 
i10-index
81
 
Publications
20
 
Co-authors
20
list available
Contact
No contact links provided.
Resume (English only)
Research Experience
  • Professor in Management Science and Engineering, and (by courtesy) Computer Science, Stanford University
  • Leads the Social Algorithms Lab
  • Member of the Stanford Crowdsourced Democracy Team
  • Participates in the RAIN seminar
  • Affiliated with the Operations Research group in MS&E, Theoretical Computer Science, and the Institute for Computational and Mathematical Engineering
Background
  • Research focuses on the design, analysis, and applications of algorithms
  • Uses techniques from optimization, probability, stochastics, and game theory
  • Emphasizes tangible real-world impact over mere practitioner collaborations or applied venue publications
  • Current application interests: Social Networks and Social Algorithms; Social Choice and Crowdsourced Democracy; Dating platforms; Internet Commerce; Reputation, Recommendation, and Trust Systems; Algorithms for large-scale data processing
  • Passionate about developing algorithms that improve human interaction and engagement with the networked world
  • Extensive industry experience at Twitter, Teapot (acquired by Stripe), and Stripe
  • Affiliated with Stanford University's Department of Management Science and Engineering (primary) and Department of Computer Science (courtesy)