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Juan M. Lavista Ferres
Also published under:Juan Lavista Ferres
Affiliation
Microsoft AI for Good Research Lab, Redmond, WA, USA
Topic
Satellite Imagery,High-resolution Imagery,Training Set,Convolutional Neural Network,F1 Score,High-resolution Satellite Imagery,Semantic Segmentation,U-Net Model,Validation Set,Aerial Images,Background Class,Building Damage,Building Damage Assessment,Building Footprints,Damage Assessment,Image Statistics,Model Performance,Natural Disasters,Segmentation Model,Semantic Segmentation Models,Wrong Classification,Adjacent Buildings,Agricultural Census,American Red Cross,Artificial Neural Network,Aspect Ratio,Average Precision,Background Labeling,Baseline Methods,Baseline Solution,Billions Of Dollars,Building Class,Building Segmentation,Change Detection,Class Labels,Classification Datasets,Common Benchmark,Convolutional Layers,Cropland Area,Cropland Mapping,Damage Estimation,Damage Threshold,Department Of Agriculture,Digital Elevation Model,Domain Adaptation,Domain Adaptation Methods,Domain Shift,Domain Shift Problem,Earth Observation,Efforts In The Field,
Biography
Juan M. Lavista Ferres received two bachelor's degrees in computer science from the Catholic University in Uruguay, Montevideo, Uruguay, in 1999, and the master's degree in data mining and machine learning from Johns Hopkins University, Baltimore, MD, USA, in 2005.
He is currently the Vice-President, Chief Data Scientist, and Lab Director of the Microsoft AI for Good Research Lab, Redmond, WA, USA, where he works with a team of data scientists and researchers in AI, machine learning, and statistical modeling, working across Microsoft AI for Good efforts. These efforts include projects in AI For Earth, AI for Humanitarian Action, AI For Accessibility, and AI For Health.
Mr. Lavista Ferres is the Editor for Microsoft Journal of Applied Research. He started the Microsoft efforts related to sudden infant death syndrome, and his work has been published in top academic Journals including Pediatrics. His work has been covered in New York Times, CNN, Chicago Tribune, U.S. News, USA Today, and over 100 news outlets around the world. Before joining Microsoft, he was the Chief Technology Officer and co-founder of alerts.com. Previously, he spent six years in Washington working with the Inter-American Development Bank applying data science to understand the impact of programs for reducing poverty and inequality in Latin-America and the Caribbean.
He is currently the Vice-President, Chief Data Scientist, and Lab Director of the Microsoft AI for Good Research Lab, Redmond, WA, USA, where he works with a team of data scientists and researchers in AI, machine learning, and statistical modeling, working across Microsoft AI for Good efforts. These efforts include projects in AI For Earth, AI for Humanitarian Action, AI For Accessibility, and AI For Health.
Mr. Lavista Ferres is the Editor for Microsoft Journal of Applied Research. He started the Microsoft efforts related to sudden infant death syndrome, and his work has been published in top academic Journals including Pediatrics. His work has been covered in New York Times, CNN, Chicago Tribune, U.S. News, USA Today, and over 100 news outlets around the world. Before joining Microsoft, he was the Chief Technology Officer and co-founder of alerts.com. Previously, he spent six years in Washington working with the Inter-American Development Bank applying data science to understand the impact of programs for reducing poverty and inequality in Latin-America and the Caribbean.