IACS Distinguished Lecturer Series

During Spring 2022 Semester, the IACS Distinguished Lecturer Series (DLS) will be held as a hybrid event that can be viewed remotely or in-person. Seminars are free and open to the public but registration is required. 

The IACS Distinguished Lecturer Series is a forum for thought leaders from academia, industry, and government to share their research on innovative computational and data science topics and methodologies. Past topics include smart city design, data science for social good, data privacy and security, socially assistive robotics, big data software, machine learning for small business lending, and AI technology development, and data-driven algorithmics.

Harvard University welcomes individuals with disabilities to participate in its programs and activities. If you would like to request accommodations or have questions about the physical access provided, please contact Jackie Strom at jstrom@seas.harvard.edu

Spring 2022 Distinguished Lecturers

2022 Feb 18

Karen Willcox | University of Texas at Austin | Learning physics-based models from data: Perspectives from model reduction

1:00pm to 2:00pm

Location: 

SEC LL2.221

Karen E. Willcox

 

 

Peter O'Donnell, Jr. Centennial Chair in Computing Systems
Karen E. Willcox is Director of the Oden Institute for Computational Engineering and Sciences, Associate Vice President for Research, and Professor of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin. 

Abstract: Operator Inference is a method for learning predictive reduced-order models from data.... Read more about Karen Willcox | University of Texas at Austin | Learning physics-based models from data: Perspectives from model reduction

2022 Feb 25

David Keyes | King Abdullah University of Science and Technology | Data-sparse Linear Algebra Algorithms for Large-scale Applications on Emerging Architectures

1:00pm to 2:00pm

Location: 

Virtual

David Keyes
Director of the Extreme Computing Research Center at the King Abdullah University of Science and Technology (KAUST)

Register here: https://forms.gle/aeTjkFwueLzYdDR1A

Abstract: A traditional goal of algorithmic optimality, squeezing out flops, has been superseded by evolution in architecture. Flops no longer serve as a reasonable proxy for all aspects of complexity.... Read more about David Keyes | King Abdullah University of Science and Technology | Data-sparse Linear Algebra Algorithms for Large-scale Applications on Emerging Architectures

2022 Mar 04

Pierre Baldi | University of California, Irvine | The Quarks of Attention

1:00pm to 2:00pm

Location: 

SEC LL2.221

Pierre Baldi

 

 

Distinguished Professor in the Department of Computer Science, School of Information and
Computer Sciences
Director, Institute for Genomics and Bioinformatics
Associate Director, Center for Machine Learning and Data Mining

Register here: https://forms.gle/rnb6tZGw2kHJVck6A. 

Abstract: Attention plays a fundamental role in both natural and artificial intelligence systems.... Read more about Pierre Baldi | University of California, Irvine | The Quarks of Attention

2022 Mar 25

Petros Koumoutsakos | Harvard University | Angels and insects: On artificial and natural optimization

1:00pm to 2:00pm

Location: 

SEC LL2.221

Petros Koumoutsakos
Herbert S. Winokur, Jr. Professor of Engineering and Applied Sciences
Faculty Director, Institute for Applied Computational Science
Area Chair for Applied Mathematics

Register here: https://tinyurl.com/yv9tdwhv

Abstract: What are the working methods of nature and how do they differ from those of engineers?... Read more about Petros Koumoutsakos | Harvard University | Angels and insects: On artificial and natural optimization

2022 Apr 08

Lois Curfman McInnes | Argonne National Laboratory | Scientific software ecosystems and communities: Why we need them and how each of us can help them thrive

1:00pm to 2:00pm

Location: 

Virtual

Lois Curfman McInnes




Argonne Distinguished Fellow
Senior Computational Scientist
Deputy Director of Software Technology, DOE Exascale Computing Project
Argonne National Laboratory

Register here: https://tinyurl.com/yc6sc7ud

Abstract: Software is a cornerstone of long-term collaboration and scientific progress, but software complexity is increasing due to disruptive changes in computer architectures and the challenges of next-generation science.... Read more about Lois Curfman McInnes | Argonne National Laboratory | Scientific software ecosystems and communities: Why we need them and how each of us can help them thrive

2022 Apr 15

Peter Dayan | Max Planck Institute for Biological Cybernetics | Peril, Prudence and Planning as Risk, Avoidance and Worry

1:00pm to 2:00pm

Location: 

Virtual

Peter Dayan
Director and Professor
Max Planck Institute for Biological Cybernetics, Tübingen

Register here: https://tinyurl.com/5dxb342w

Abstract: Risk occupies a central role in both the theory and practice of decision-making.... Read more about Peter Dayan | Max Planck Institute for Biological Cybernetics | Peril, Prudence and Planning as Risk, Avoidance and Worry