René Sorina
About René Sorina
René Sorina is a Senior Data Scientist at UrbanFootprint, where he has worked since 2022. He holds a Master of Science from the Massachusetts Institute of Technology and has experience in various research and data analysis roles, including modeling wind patterns and presenting findings at the American Geophysical Union.
Work at UrbanFootprint
René Sorina has been employed as a Senior Data Scientist at UrbanFootprint since 2022. In this role, he applies his expertise in data analysis and modeling to support UrbanFootprint's mission of providing data-driven insights for urban planning and sustainability. His work involves leveraging advanced data science techniques to enhance the company's analytical capabilities.
Education and Expertise
René Sorina holds a Master of Science degree from the Massachusetts Institute of Technology, where he studied the Technology and Policy Program from 2019 to 2021. He also earned a Bachelor's Degree in Civil and Environmental Engineering from MIT, completing his studies from 2014 to 2019. His educational background equips him with a strong foundation in both technical and policy aspects of engineering and data science.
Professional Background
Prior to his current position at UrbanFootprint, René Sorina worked in various roles that enhanced his data science skills. He served as a Data Analyst Fellow at Solstice from 2018 to 2019, and as a Graduate Research Assistant at MIT from 2019 to 2021. He also held a position as a Senior Research Scientist at the US Army Corps of Engineers from 2021 to 2022, where he focused on modeling wind patterns.
Research and Contributions
René Sorina has contributed to significant research initiatives, including modeling tornado winds using the NOAA severe storm database and developing machine learning approaches to model continental winds based on the NIST damaging winds database. He presented his findings at the American Geophysical Union (AGU) 2023 Fall Meeting in San Francisco, California, showcasing his work on wind modeling.
Innovative Wind Modeling
René Sorina has unveiled three proprietary wind models that focus on Tropical Cyclones, Non-Cyclonic Winds, and Tornadoes. His research utilizes extensive datasets, including 10,000 years of synthetic hurricane tracks for modeling present conditions and 40,000 years of future projected tracks, demonstrating his commitment to advancing the field of meteorological modeling.