Institute for Human-Centered Artificial Intelligence (HAI)
Showing 21-40 of 48 Results
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Caroline Meinhardt
Policy Research Manager, Institute for Human-Centered Artificial Intelligence (HAI)
BioCaroline Meinhardt is a policy research manager at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), where she manages the institute's policy research initiatives. Her research focuses on the implementation challenges of AI regulation, the governance of large-scale AI models, healthcare AI policy, and global AI governance approaches. Prior to joining HAI, she worked as a China-focused consultant and analyst, delivering in-depth research and strategic advice regarding China’s development and regulation of emerging technologies, including AI. She holds a Master's in International Policy from Stanford University and a Bachelor's in Chinese Studies from the University of Cambridge.
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Chris Mentzel
Managing Director of Research and Campus Engagement, Institute for Human-Centered Artificial Intelligence (HAI)
BioChris leads Stanford’s efforts in research and early-career development around data science and data-driven discovery, engaging the entire campus in advancing and applying new data science and AI theory and practice to accelerate research.
Previously, Chris started and led the Moore Foundation's Data-Driven Discovery Initiative, an $80 million effort within the Science Program to enable data scientists to turn the scientific data deluge into opportunities to address some of today's most important research questions. He also led the grants administration department and worked as senior network engineer for the foundation. Chris has held positions as a systems engineer and integrator at the University of California, Berkeley, and at various Internet consulting firms in the Bay Area. An active member of the broader big data and open science communities, Chris serves on a number of advisory boards and program committees and speaks frequently at conferences and workshops on topics related to data-driven research.
Chris received a B.A. in mathematics from the University of California, Santa Cruz, and an M.Sc. in management science and engineering at Stanford University. -
Vanessa Parli
Managing Director of Programs and External Engagement, Institute for Human-Centered Artificial Intelligence (HAI)
BioAs 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.
Before joining Stanford, I worked in management consulting, applying statistics, machine learning, and data science to advise government agencies, biotech firms, and nonprofit organizations. My work centered on making complex methods accessible to decision makers, ensuring technical rigor translated into actionable strategies.
I hold an MS in Engineering Management and Computational Mathematics from Johns Hopkins University and a BA in Industrial Engineering from Arizona State University. I am passionate about turning bold ideas into impact, and am recognized for my collaborative, process-driven approach to problem-solving. -
Christine Raval
Research Program Manager, Institute for Human-Centered Artificial Intelligence (HAI)
BioChristine is a member of the research team at the Stanford Institute for Human-Centered AI (HAI). She manages the HAI grant programs, student affinity initiative, and the operations of AI100, a 100-year effort to study and anticipate how the effects of AI will ripple through every aspect of how people work, live and play. Prior to joining Stanford, Christine worked on the digital learning team at the University of Nebraska at Omaha and as a case manager for newly arrived refugees in Omaha.
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Ahmad Rushdi
Director of Industry Programs, Institute for Human-Centered Artificial Intelligence (HAI)
BioAhmad A. Rushdi, PhD, is the director of HAI industry research programs at Stanford’s Institute for Human-Centered AI (HAI), translating cutting-edge research into responsible, deployable solutions for global enterprises. He forges durable bridges between Stanford scholars and industry researchers to advance trustworthy, real-world AI. Ahmad's own research focuses on rigorous/statistical uncertainty quantification for trustworthy AI models and systems. Previously, he held R&D roles at Sandia National Labs, Northrop Grumman, UC Davis, UT Austin, and Cisco. PhD: Electrical & Computer Engineering, UC Davis, and MS/BS: Electrical Engineering, Cairo University.
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Sha Sajadieh
AI Index Lead, Institute for Human-Centered Artificial Intelligence (HAI)
BioSha leads the AI Index at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The Index is a program built on longitudinal frameworks to measure AI's global trajectory. It also produces the Global AI Vibrancy Tool, an interactive platform that enables cross-country comparisons of AI activity across dozens of indicators.
In her role, Sha manages the direction and development for the AI Index Report, alongside the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. The report is used by policymakers and global industry leaders, and has been cited in major outlets including The New York Times, Bloomberg, and The Guardian.
Before joining Stanford HAI, Sha spent nearly a decade in product leadership roles at companies like Google and Netflix, building consumer and enterprise products in media and entertainment.
Sha holds a B.A. in Interdisciplinary Studies from the University of California, Berkeley. -
Mayank Sharma
Research Asst - Graduate, Institute for Human-Centered Artificial Intelligence (HAI)
Ai4all Graduate Mentor, Stanford Pre-Collegiate StudiesBioFirst year student at the Graduate School of Education (GSE), pursuing the Education Data Science (MS) program. Hit me up (masharma@stanford.edu) to discuss data science and/or education equity!
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Drew Spence
Policy Program Manager, Institute for Human-Centered Artificial Intelligence (HAI)
BioDrew Spence serves as Policy Program Manager for the Stanford Institute for Human-Centered Artificial Intelligence (HAI) where he leads policy education programs, student fellowships, and outreach to policymakers in Washington and beyond. Prior to joining the team at HAI, Drew held multiple roles in government, most recently on former Vice President Kamala Harris' legislative affairs team. He also served in the U.S. Department of the Treasury, in the U.S. Senate, and in the California Attorney General's office. He is a graduate of George Washington University.
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Alberto Tono
Grad Ra Student-Hourly, Institute for Human-Centered Artificial Intelligence (HAI)
BioTono Alberto is a current PhD Student at Stanford under the supervision of Kumagai Professor: Martin Fischer. He is currently exploring ways in which the Convergence between Digital and Humanities can facilitate cross-pollination between different industries within an Ethical Framework focused on augmenting human intelligence.
He served as the Research and Computational Design Leader in Architectural and Engineering organizations, receiving the O1-visa for outstanding abilities with both HOK and HDR. Tono obtained his Masters in Building Engineering - Architecture from the University of Padua and the Harbin Institute of Technology under the supervision of Andrea Giordano, Carlo Zanchetta and Paolo Borin. He has been working in the computational design and deep learning space since 2014. Furthermore, he is improving Building Information Modeling and Virtual Design and Construction (BIM/VDC) workflows within a statistical framework to optimize the sustainability impact of these processes. Hence, Tono is LEED AP certified. He is an international multi-award-winning “hacker” and speaker, and his work within Architecture and Artificial Intelligence brought him to companies in China, the Netherlands, Italy, and California. Thanks to his multidisciplinary approach he worked as Data Scientist and Geometric Deep Learning Researcher at a Physna/Thangs helping to raise over 80 Milion while working on 3D Search and Monocular 3D Shape Retrieval problems.
Currently is focusing on better methodologies for Generative Building Design, centered on capturing design knowledge from the primordial and universal act of Sketching.
