Ashish Goel

Ashish Goel is a Professor at the Stanford University, with primary affiliations in the Management Science and Engineering department, and by courtesy, the Computer Science department. He is actively involved in the Social Algorithms Lab, the Stanford Crowdsourced Democracy Team, and the RAIN seminar.

Goel's research centers on algorithm design, analysis, and applications, integrating optimization, probability, stochastics, and game theory to solve real-world problems. His current focus areas include Social Networks, Social Choice, Crowdsourced Democracy, Internet Commerce, Reputation Systems, and Large-Scale Data Processing. He emphasizes tangible impact in application domains, particularly through algorithmic innovation in networked systems.

The research trends in his publications highlight Personalized PageRank, Social Network Analysis, Crowdsourced Decision-Making, and Randomized Algorithms. These works often intersect computational social science, distributed systems, and economic incentives, demonstrating his interdisciplinary approach.

Scientific Awards:

• Best Paper Award, WWW 2009

Goel has mentored students in algorithmic research and collaborated on computational social science through the Stanford Crowdsourced Democracy Team. His industry experience, particularly at Twitter, Teapot, and Stripe, has significantly influenced his academic work, especially in recommendation systems, ad targeting, and search algorithms.