Speaker: Andreas Gros
I am a scientist with a background in complex systems on Facebook’s spatial computing team. I work on the High-Resolution Settlement Layer and connectivity crisis data. I also work on spatial demographic questions. For my PhD I studied the evolution of dispersal strategies at the University of Wuerzburg, Germany. I expanded the work on spatial co-evolutionary systems as a postdoc at the New England Complex Systems Institute, where I also worked on spatial socio-economic systems, like ethnic violence. I received my diploma (equivalent to MS) in applied systems analysis at the Institute of Applied Systems Analysis in Osnabrueck, Germany.
Find Andreas Gros at
Talk : Building Data Products for Social Good
Other talks from track Papers in Production: Modern CS in the Real World
2019 Tracks
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Groking Timeseries & Sequential Data
Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.
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Deep Learning in Practice
Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.
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AI Meets the Physical World
Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.
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Papers in Production: Modern CS in the Real World
Groundbreaking papers make real-world impact.
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Solving Software Engineering Problems with Machine Learning
Interesting machine learning use cases changing how we develop software today, including planned topics touching on infrastructure optimization, developer experience, security, and more.
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Predictive Architectures in the Real World
Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.