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New paper led by Dr. Xiaojie Gao at Harvard Forest: "Cross-scalar analysis of multisensor land surface phenology" Check it out! doi.org/10.1016/j.rs...
02.02.2025 22:32 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Global China Fellows Program | Global Development Policy Center
We are looking for a post-doc to work on a joint project focusing on large-scale land use/land cover change, funding via BU's Global Development Policy Center. Please share. Interested applicants can email me at my BU address. www.bu.edu/gdp/2021/10/...
19.11.2024 14:15 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Postdoc at Boston University. Posts do not represent the views of my employer---only my own.
https://jerrylin96.github.io/
ML PhD student at UC San Diego. Into AI for Science, especially climate & weather.
https://salvarc.github.io/
Professor in Meteorology and Computer Science, Director of the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), mom to @wrmf.bsky.social and @agileschnauzers.bsky.social
Climate scientist @UCSD using machine learning to improve our understanding of clouds and aerosols. ๐โโ๏ธ
Find out more about the Climate Analytics Lab here: https://climate-analytics-lab.github.io/
Assistant Professor in Computer Science, McGill University /
Mila Quebec AI Institute. Co-Founder and Chair, Climate Change AI. MIT Tech Review "Innovator Under 35". he/him/his
PhD @Columbia. Previously @NUSingapore, intern @IBMResearch
https://juannat7.github.io
Astrophysicist turned Climate Scientist | AI for Science | Professor of Physics at @cuny.bsky.social; happy camper at @leapstc.bsky.social | Author, ML for Physics and Astronomy: https://shorturl.at/VJ9k9 | Lover of puns, data, good people, and unfinished
Professor of climate science + applied math, University of Chicago @UChicago. AI for Climate Initiative (AICE). Extreme weather, scientific ML, climate change & turbulence.
Lecturer @ University of Auckland | Climate variability + data science | emilymgordon.com
Postdoc researcher @ University of California Irvine, LEAP NSF-STC - Columbia University
Machine Learning & Generative modeling for Climate Science
Professor @Columbia University, Director of @LEAPstc NSF Science and Technology Center, Working on #climate, #water and #ecology, born at 335ppm, views my own
Revolutionizing climate projections by integrating climate and data science, through innovation, diversity, legacy, and impact.
{ MAIN: leap.columbia.edu }
{ EVENTS: leap.columbia.edu/events }
{ NEWS: leap.columbia.edu/news }
Climate Scientist at @climatecentral.org | PhD | Passionate about improving science communication through data-driven stories | Harrisburg, PA | https://zacklabe.com/
Views, thoughts, and opinions expressed here are only my own.
Building AI climate models at Google. I also contribute to the scientific Python ecosystem, including Xarray, NumPy and JAX.
Opinions are my own, not my employer's.
Professor @ TUM | Making numerical methods and deep learning play nicely together | Fluids | Computer Graphics
Professor | Climate Scientist | AI for Science
incoming Dalton Professor of Computing & Data Sciences and of Earth & Environment @ Boston University
Machine Learning Scientist at NSF NCAR in Boulder, CO. Interested in the linkages among AI, weather, climate, disasters, and impacts.
Climate scientist, geologist, and catastrophe modeler, Liberty Mutual. Posts on all things hurricane, wildfire, flood, earthquake, tornado. Sassy takes are mine not employer's.
๐Oakland, CA
Website: hereidk.strikingly.com
Climate Data Scientist at Institut Pierre-Simon Laplace and IRD, Sorbonne University | Cofounder of MoroccoAI
Https://redouanelg.github.io