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Advisors

AIandYou is proud to be supported by a wide and impressive range of advisors, each serving in individual capacities. Leaders in their fields, our advisors are a consummate group of experts dedicated to improving the world through AI.

brandeis marshall

Dr. Brandeis Marshall

Brandeis Marshall, PhD, is a computer science scholar and educator who contributes to the data engineering, data science, and data/computer science education fields. Her interests intersect the racial, gendered and socioeconomic impact of data in technology. She is currently Professor of Computer Science at Spelman College and faculty associate at the Berkman Klein Center for Internet & Society at Harvard University. She is also the founder of DataedX, an edtech company focused on enhancing the workforce’s data competencies and supporting career development.
Joaquin Quinonero Candela

Joaquin Quiñonero Candela

Joaquin is a Director of Engineering in AI at Facebook. He built the AML (Applied Machine Learning) team, driving product impact at scale through applied research in machine learning, language understanding, computer vision, computational photography, augmented reality, and other AI disciplines. AML also built the unified AI platform that powers all production applications of AI across the family of Facebook products. Joaquin is now focused on new AI challenges, including the ethics of AI.
Katherine Heller

Katherine Heller

Katherine is a Research Scientist at Google and an Assistant Professor of Statistical Science at Duke University. She also serves as Diversity Co-Chair at NeurlPS and as a Senior Advisory Board Member for Women in Machine Learning (WiML).
Hal Daumé III

Hal Daumé III

Hal is a Professor of Computer Science at the University of Maryland. In addition to his academic position, Hal is a Senior Principal Researcher at Microsoft, and served as Program Co-Chair at the International Conference in Machine Learning (ICML) in 2020.

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AIandYou proudly partners with a diverse group of scientists, researchers and engineers to amplify their work, support their programs and create a platform for them to discuss AI with the community.

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