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Vanessa Parli | Stanford HAI

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peopleStaff

Vanessa Parli

Managing Director of Programs and External Engagement

External Bio

As Managing Director, Programs and External Engagement at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), I lead initiatives that foster interdisciplinary collaboration and connect academic research with real-world impact. My work includes managing HAI’s industry research partnerships, executive education, policy engagement and the AI Index, creating opportunities for leaders from diverse backgrounds to engage with cutting-edge AI research, its applications, and its potential for positive social impact.

Prior to joining Stanford, I worked in management consulting, using statistics, machine learning, and data science to advise government agencies, biotech firms, and nonprofit organizations. I hold 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

Research
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The Global AI Vibrancy Tool 2025

Loredana Fattorini, Nestor Maslej, Ray Perrault, Vanessa Parli, John Etchemendy, Yoav Shoham, Katrina Ligett
DemocracyIndustry, InnovationGovernment, Public AdministrationDeep DiveNov 24

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

response to request

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.

media mention
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The AI Race Has Gotten Crowded—and China Is Closing In on the US

Wired
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.

All Related

Here are 3 Big Takeaways from Stanford's AI Index Report
Tech Brew
Apr 07, 2025
media mention

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

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

Tech Brew
Apr 07, 2025

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

Sciences (Social, Health, Biological, Physical)
Machine Learning
Regulation, Policy, Governance
Industry, Innovation
media mention
How Disruptive Is DeepSeek? Stanford HAI Faculty Discuss China’s New Model
Vanessa Parli
Feb 13, 2025
news

How Disruptive Is DeepSeek? Stanford HAI Faculty Discuss China’s New Model

Vanessa Parli
Feb 13, 2025

Machine Learning
news
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
Policy Publication
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.

Education, Skills
Ethics, Equity, Inclusion
Cover for working paper that reveals the untapped potential for leveraging AI for mission-related impact.
Policy Publication
Generative AI: Perspectives from Stanford HAI
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
Deep DiveMar 01, 2023
Research

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

Generative AI: Perspectives from Stanford HAI

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
Deep DiveMar 01, 2023

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

Generative AI
Research