Chicago Data Night
Chicago Data Night is a monthly speaker series co-hosted by the Data Science Institute, ChiData, and Drive Capital. The event brings together the analytical rigor of academia with the practical insights of industry professionals to unlock new pathways for discovery and development with the broader community.
“Collaboration between industry and academia is essential for driving innovation and addressing real-world challenges. Events like Chicago Data Night create invaluable opportunities for us to exchange ideas, share insights, and explore the practical applications of our research. Together, we can bridge the gap between theory and practice, ensuring that our work has a meaningful impact on both sectors.” Raul Castro Fernandez, ChiData Lead and event organizer.
Register to attend our next Chicago Data Night, take a look at past Chicago Data Nights below, and look out for future events on the DSI Events page.
Data Night Co-Organizers
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Anne Brown (she/her)
Director of Corporate Partnerships -
Raul Castro Fernandez
Assistant Professor, Computer Science; Faculty Co-Director, Data Ecology -
Chris Zhu
PhD Student, Computer Science
Anne brings a history of successful corporate engagement, strategic partnerships, and nonprofit leadership to her role as Director of Corporate Partnerships at the Data Science Institute. Anne previously served as a national program manager at the American Red Cross. There, she led several high-impact initiatives, including the Annual Disaster Giving Program, where she successfully partnered with over 150 top corporations to advance the organization’s disaster relief efforts.
Anne’s experience extends beyond national borders, having served as an international strategic advisor, where she worked closely with sister Red Cross Societies to craft and implement comprehensive resource mobilization strategies. Before her work at the Red Cross, she served on the Development team at Equal Justice Works, a nonprofit dedicated to creating a sustainable pathway for recent law graduates to enter public interest law.
Anne also holds a master’s degree in public policy from the Harris School at the University of Chicago.
Raul Castro Fernandez is an Assistant Professor of Computer Science at the University of Chicago. In his research he builds systems for discovering, preparing, and processing data. The goal of his research is to understand and exploit the value of data. He often uses techniques from data management, statistics, and machine learning. His main effort these days is on building platforms to support markets of data. This is part of a larger research effort on understanding the Economics of Data. He is the faculty co-lead of the DSI’s Data Ecology Research Initiative and he is part of ChiData, the data systems research group at the University of Chicago.
Chris Zhu is currently a Computer Science PhD student at the University of Chicago, advised by Professor Raul Castro Fernandez. He is broadly interested in data systems, and currently working on Data Station, a system for enabling data sharing. Before his doctoral studies, Chris earned a bachelor’s degree in Computer Science from the University of Chicago.