We invite you to a Brown Bag Talk with Andreas Gros, where he will share insights from his work in machine learning research and the analysis and modeling of complex systems.
Abstract from the speaker:
In this brown bag talk, I’ll be presenting work on mapping forests to enable the suggestion of sustainable forest-management strategies to prevent catastrophic wildfires.
I will also present some work-in-progress on applying ML techniques to help prevent west-Antarctic glaciers from collapsing, trying to prevent them from contributing to catastrophic sea-level rise.
About the speaker:
Andreas Gros’s background is in computer science, mathematics, and the analysis and modeling of complex systems. He is, first and foremost, a scientist who applies his skills to machine learning research and engineering.
Bring your own lunch bag! Light pastries and drinks will be available in case you forget to bring it.
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The Data Science Brown Bag Series is an informal and interactive gathering where participants bring their own brown bag lunch and engage in discussions on research and insights the field of data and computational social science (light pastries and drinks will be available if you forget your lunch bag!).
The series provides a platform for data enthusiasts, researchers, and practitioners to share their experiences, best practices, and emerging methodologies and research in using data science to analyze and understand social and political phenomena. The brown bag talk series is for anyone interested in data science and social science to network, learn, and share ideas in a casual and friendly setting.
