Speakers
We proudly present the following highly seasoned speakers:
Joy Bonaguro
"Data and Public Policymaking"
Joy is Chief Data Officer of the city of San Francisco. Her team manages the city's public data and provides insights that serve as the basis for policy making. She will discuss with us how cities and other public entities may utilize their data in order to improve their services and serve their people at the most efficient.
Lutz Finger
"The Deeds and Dangers of AI"
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Lutz is a Data Scientist in Residence at Cornell University and the author of the book “Ask Measure Learn.” He thinks and talks about data and how machine learning and AI will change our world. He built the Data Science team at Snap Inc, and at LinkedIn and is the co-founder and former CEO of Fisheye Analytics, a media data-mining company, which supports governments and NGOs with data insights.
Cathryn Carson
"Preparing for a Datafied World: Society, Education, and Leadership"
Prof. Carson is a historian and ethnographer of contemporary science and technology. Before getting her PhD in history, she was trained in computational condensed matter physics. As Associate Dean of Social Sciences, she built D-Lab, which opened in 2013 and serves social scientists (and others) across campus doing data-intensive research.
Laura Montoya
"The Future of Work"
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Laura is the Founder and Executive Director of Accel.AI, a global Non-Profit Institute lowering the barriers to entry in engineering artificial intelligence. She also founded and co-chairs the Latinx in AI Coalition. She has been described as a natural and versatile leader with a passion for AI, Computer Science, Research, and Psychology. She has a Bachelors of Science in Biology, Physical Science, and Human Development. She is also a Director with Women Who Code, a global non-profit dedicated to inspiring women to excel in technology careers.
Sandrine Mueller
"Data and Personal Life"
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Sandrine is a computational social scientist who uses smartphone data to study human mobility and its psychological correlates. In particular, she examines how mobility patterns (e.g., the places people visit, their daily routines, distance traveled, etc.) can inform our understanding of personality and mental health. Her research aims to provide a deeper theoretical understanding of these psychological phenomena, while fostering the development of personalized interventions to promote well-being.
Dawn Song
"Data and Security"
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Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in deep learning and security. She has studied diverse security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, database security, distributed systems security, applied cryptography, to the intersection of machine learning and security