Kyle brings experience in machine learning and statistical modeling to energy problems.
All are welcome to gather in Ahmadieh Family Auditorium (Gross 107) for a Zoom presentation and Q&A session by Jennifer Sleeman, a research assistant professor in computer science at the University of Maryland, Baltimore County (UMBC) and works with the Johns Hopkins University Applied Physics Laboratory. She will speak on "Using Machine Learning for Climate Tipping Point Discovery."
This talk is hosted by the Energy Data Analytics Ph.D. Student Fellows program in partnership with Climate+, a full-time, ten-week summer research experience in which Duke undergraduate and masters students apply new data-driven approaches to climate challenges and learn from experts on data science, climate, environment, and energy. Climate+, a new vertical within Duke’s Data+ program, is organized by the Rhodes Information Initiative at Duke in partnership with the recently merged Nicholas Institute for Environmental Policy Solutions and Duke University Energy Initiative.
The talk will not be livestreamed to remote attendees or recorded.