About

About

We advance knowledge, educate future innovators, and harness the power of data science and AI for the public good.

DSI is the interdisciplinary hub for more than 400 Columbia faculty and researchers who are advancing knowledge and unlocking solutions to previously unanswerable questions through the power of data science and AI.
 
Across more than 66 disciplines, from medicine to physics, engineering and policy, Columbia researchers are driving innovation.
photo of the Northwest Corner Building

Our Mission and Vision

Our mission is to harness the power of data science and AI to drive positive change in society. Through pioneering research and education, we develop cutting-edge solutions and prepare responsible innovators to tackle urgent challenges. By bringing together Columbia’s diverse academic expertise with its advanced data science and AI capabilities, DSI leads interdisciplinary collaboration and cultivates high-impact partnerships across academia, industry, and the public sector. Guided by the principle of Data for Good, we translate data insights into real-world applications that enhance society  and promote sustainable progress.

We envision a future where data science and AI help solve global challenges, transforming decision-making and empowering communities locally and globally. As a collaborative hub for research, education, and partnerships, we pursue foundational discoveries, bridge theory and practice, and cultivate talent ready to innovate responsibly for a more equitable, resilient, and thriving society.

We do this through the lens of Data for Good, our commitment to applying data science ethically and responsibly, and to ensuring the data itself is accurate, reliable, and fit for purpose.

Our Story

DSI serves as the intellectual hub for data science and AI at Columbia—strengthening research, convening thought leaders, educating students, and advancing responsible innovation in partnership with industry, communities, and the public sector. 

photo of Garud N. Iyengar (photo by Drew Reynolds)

"The Data Science Institute at Columbia University is a diverse community of scholars, researchers, and innovators that is advancing knowledge and discovering creative solutions to pressing societal challenges."

Garud N. Iyengar, Avanessians Director of the Data Science Institute

Our Model for Impact

Matching the Complexity of Today's Technology
Matching the Complexity of Today's Technology

From its inception, DSI has dissolved academic silos. With more than 400 affiliated faculty across Columbia University, our interdisciplinary model meets the needs of a complex world.

Connecting Deep Expertise with Pressing Real-World Problems
Connecting Deep Expertise with Pressing Real-World Problems

Our work bridges the mathematical and algorithmic foundations of AI and data science to meaningfully address real-world challenges experienced by both industries and communities.

Grounded in Ethics, Committed to Impact
Grounded in Ethics, Committed to Impact

Grounded ethical practices are integral to every stage of our work. By synthesizing what we learn from working closely with a diverse range of experts and practitioners, we help ensure data science and AI serves people and communities.

Engaging and Educating Tomorrow's Experts
Engaging and Educating Tomorrow's Experts

We educate future leaders through rigorous degree programs, unique event programming and cross-disciplinary initiatives that both welcome and foster innovative approaches to AI and data science.

Leadership

photo of Garud Iyengar
Garud Iyengar

Avanessians Director of the Data Science Institute

photo of Daniel Hsu
Daniel Hsu

Associate Director

photo of Jeff Goldsmith
Jeff Goldsmith

Associate Director

Lori Glover
Lori Glover

Chief of Strategic Alliances

Radhika Patel
Radhika Patel

Chief Operating Officer

Jessica Pavone
Jessica Pavone

Managing Director, Engagement and Programs

Mark Habana
Mark Habana

Senior Director, Sponsored Research Administration

Desirae Colvin
Desirae Colvin

Director, Special Projects

Core Members

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