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Vanessa Parli | Stanford HAI

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peopleStaff

Vanessa Parli

Managing Director of Programs and External Engagement

External Bio

Vanessa Parli is the Managing Director of Programs and External Engagement at HAI. She leads the HAI grant programs, research convenings, student groups and “state of AI” reports such as the AI 100 and the AI Index where she is a member of the Steering Committee. Her team also analyzes the effectiveness of these programs to continuously improve HAI’s ability to foster interdisciplinary research collaborations internal and external to Stanford. Prior to Stanford, Vanessa worked in management consulting where she utilized statistics, machine learning and other data science methodologies to advise government agencies, large biotech companies and nonprofit organizations. Vanessa holds an MS in Engineering Management and Computational Mathematics from Johns Hopkins University and a BA in Industrial Engineering from Arizona State University.

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Latest Related to Vanessa Parli

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Response to the Department of Education’s Request for Information on AI in Education

Victor R. Lee, Vanessa Parli, Isabelle Hau, Patrick Hynes, Daniel Zhang
Education, SkillsRegulation, Policy, GovernanceQuick ReadAug 20

Stanford scholars respond to a federal RFI on advancing AI in education, urging policymakers to anchor their approach in proven research.

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Regulation, Policy, GovernanceEconomy, MarketsFinance, BusinessGenerative AIIndustry, InnovationMachine LearningSciences (Social, Health, Biological, Physical)Apr 07

Vanessa Parli, Stanford HAI Director of Research and AI Index Steering Committee member, notes that the 2025 AI Index reports flourishing and higher-quality academic research in AI.

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Here are 3 Big Takeaways from Stanford's AI Index Report

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Vanessa Parli, HAI Director of Research and AI Index Steering Committee member, speaks about the biggest takeaways from the 2025 AI Index Report.

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The Global AI Vibrancy Tool 2024
Loredana Fattorini, Nestor Maslej, Ray Perrault, Vanessa Parli, John Etchemendy, Yoav Shoham, Katrina Ligett
Deep DiveNov 14, 2024
Research
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This methodological paper presents the latest iteration of the Global AI Vibrancy Tool, an interactive suite of visualizations designed to facilitate cross-country comparisons of AI vibrancy across 36 countries, using 42 indicators organized into 8 pillars. The tool offers customizable features that enable users to conduct in-depth country-level comparisons and longitudinal analyses of AI-related metrics.

The Global AI Vibrancy Tool 2024

Loredana Fattorini, Nestor Maslej, Ray Perrault, Vanessa Parli, John Etchemendy, Yoav Shoham, Katrina Ligett
Deep DiveNov 14, 2024

This methodological paper presents the latest iteration of the Global AI Vibrancy Tool, an interactive suite of visualizations designed to facilitate cross-country comparisons of AI vibrancy across 36 countries, using 42 indicators organized into 8 pillars. The tool offers customizable features that enable users to conduct in-depth country-level comparisons and longitudinal analyses of AI-related metrics.

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Research
Inspiring Action: Identifying the Social Sector AI Opportunity Gap
Sarah Di Troia, Vanessa Parli, Juan Pava, Haifa Badi Uz Zaman, Kelly Fitzsimmons
Deep DiveFeb 08, 2024
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Cover for working paper that reveals the untapped potential for leveraging AI for mission-related impact.

This working paper reveals the untapped potential for leveraging AI for mission-related impact.

Inspiring Action: Identifying the Social Sector AI Opportunity Gap

Sarah Di Troia, Vanessa Parli, Juan Pava, Haifa Badi Uz Zaman, Kelly Fitzsimmons
Deep DiveFeb 08, 2024

This working paper reveals the untapped potential for leveraging AI for mission-related impact.

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Deep DiveMar 01, 2023
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A diversity of perspectives from Stanford leaders in medicine, science, engineering, humanities, and the social sciences on how generative AI might affect their fields and our world

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Russ Altman, Erik Brynjolfsson, Michele Elam, Surya Ganguli, Daniel E. Ho, James Landay, Curtis Langlotz, Fei-Fei Li, Percy Liang, Christopher Manning, Peter Norvig, Rob Reich, Vanessa Parli
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A diversity of perspectives from Stanford leaders in medicine, science, engineering, humanities, and the social sciences on how generative AI might affect their fields and our world

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