Steven Skiena, Ph.D.
Stony Brook University "Word and Graph Embeddings for Machine Learning" [more info][watch]
February 3, 2021
Tanya Berger-Wolf, Ph.D.
The Ohio State University "Trustworthy AI for Wildlife Conservation: AI and Humans Combating Extinction Together" [more info][watch]
February 10, 2021
Jeannette M Wing, Ph.D.
Columbia University "Data for Good: Ensuring the Responsible Use of Data to Benefit Society" [more info][watch]
February 17, 2021
Prashant Reddy, Ph.D.
J.P. Morgan AI Research "Diverse Applications of AI in Finance" [more info]
February 24, 2021
In collaboration with the Murray Center for Women in Technology
Deja D. Bond
Remitly "A Conversation with Deja Bond: Responsible Data Science" [more info][watch]
March 3, 2021
Ying Wu College of Computing Distinguished Speaker
Vipin Kumar, Ph.D.
University of Minnesota "Big Data in Climate and Earth Sciences: Challenges and Opportunities for Data Science" [more info][watch]
March 10, 2021
Cynthia Rudin, Ph.D.
Duke University "Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and use Interpretable Models Instead" [more info][watch]
March 24, 2021
William Reus, Ph.D.
United States Department of Defense "Arkouda: Interactive Supercomputing for Data Science" [more info][watch]
March 31, 2021
Ilkay Altintas, Ph.D.
University of California, San Diego "Toward a Scalable Computing Ecosystem Advancing Data-Integrated Applications for Science and Society" [more info][watch]
April 7, 2021
Charles Leiserson, Ph.D.
Massachusetts Institute of Technology "Software Performance after Moore's Law" [more info][watch]
April 14, 2021
Aydin Buluc, Ph.D.
Lawrence Berkeley National Lab
University of California, Berkeley "Large-scale graph representation learning and computational biology through sparse matrices" [more info][watch]
April 21, 2021
Tina Eliassi-Rad, Ph.D.
Northeastern University "Geometric and Topological Graph Analysis for Machine Learning Applications" [more info][watch]
April 28, 2021
Joseph JaJa, Ph.D.
University of Maryland "Deep Learning Techniques to Characterize Dynamics in Spatio-Temporal Neuroimaging Data" [more info][watch]
