Spring 2021 Seminar Series
January 27, 2021
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]