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Spotlight Talks 2
Josh Veitch-Michaelis · Chelsea Sidrane · Sella Nevo · Jean Oh

Fri Dec 13 02:30 PM -- 03:30 PM (PST) @

Paper IDs * 18 - "Flood Detection On Low Cost Orbital Hardware" * 19 - "Machine Learning for Generalizable Prediction of Flood Susceptibility" * 20 - "Inundation Modeling in Data Scarce Regions" * 24 - "Explainable Semantic Mapping for First Responders"

Author Information

Josh Veitch-Michaelis (Liverpool John Moores University)
Chelsea Sidrane (Stanford University)
Sella Nevo (Google)

Sella Nevo is a software engineer who specializes in machine learning research and development. He is committed to enacting large-scale effective social impact, focusing on global poverty and health. Sella currently leads the [Google Flood Forecasting Initiative](https://www.blog.google/products/search/helping-keep-people-safe-ai-enabled-flood-forecasting/), which aims to provide scalable high-accuracy high-resolution flood forecasts and warnings in developing countries, and eventually across the globe. His research currently focuses on integrating machine learning models with non-differentiable physics-based models in data-constrained real-world problems. He has previously worked in the field of natural language understanding, most notably contributing to the ML model behind the famous [Google Duplex](https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversation.html). He also teaches Information Security at Tel Aviv University.

Jean Oh (Carnegie Mellon University)

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