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Application of Physics-Informed Neural Networks (PINNs) on Chaotic Climate Systems Advised by: Curtis A. Deutsch; The Deutsch Research Group Gian Giacomo Navarra; The Deutsch Research Group

A Comparative Analysis of Nuclei Enrichment Protocols for Single-Cell Sequencing Advised by: Fenna Krienen - Princeton Neuroscientist Institute

Climate change is no longer a distant threat but a present reality, with a 78% rise in weather-related power outages in the U.S. over the past decade. Our high-resolution analysis of power outage…

My project explores the application of various deep learning methods to the problem of short-term wind gust prediction central to wind-aware control on real-world quadrotors, a ubiquitous issue for…

Farrukh Khan is a senior Pakistani diplomat. He joined the Foreign Service of Pakistan in 1995. He has served in several national and international positions, including Chef De Cabinet and Deputy…

Turbulence modeling can shed light on the physics that occurs at the boundary between ocean waves and overhead wind, which is useful in the fields of oceanography, renewable energy, weather…

The Southern Patagonian Ice Field (SPIF) in Argentina and Chile is the second-largest extrapolar ice field in the world and a critical region for understanding the impacts of climate change on alpine…

EEB 522 Seminar Series Colloquium on the Biology of Populations Presented by Nick Haddad "Reconnecting Landscapes for Nature and People"

With the rapid development of large-scale and complex generative AI models, there is a there is a demand for new tools to explain the inner workings and behavior of such systems. While various visual…

Algorithms make predictions about people constantly. The spread of such prediction systems has raised concerns that machine learning algorithms may exhibit problematic behavior, especially…