Gabriel Tseng
Hello! My name is Gabi. I am a PhD student at McGill / Mila, working under the supervision of Professor David Rolnick to investigate ways in which machine learning can help fight climate change. This includes working with Professor Hannah Kerner at NASA Harvest.
Land use is one of the most important environmental issues, and agriculture is the main driver of land use. My research seeks to better understand the Earth’s landcover using remote sensing data, with a focus on improving the machine learning algorithms used to make large scale agricultural landcover maps.
In addition to machine learning for remote sensing and agriculture, I have been lucky to contribute to:
- Technology for good, such as for sustainable and regenerative farming, or to increase energy access
- Interpretable machine learning using open source tools
I also love spending time outdoors, either by climbing or running in beautiful places.
In addition to the technical blog here, I also have a non technical blog, at oolongaloha.com
You can check out my CV here.
News
I presented Presto and Galileo in the context of our work with WorldCereal at WorldCereal’s 3rd webinar - watch the recording here.
I’m spending the summer working in Seattle at the Allen Institute for AI’s applied sciences team, under the mentorship of Patrick Beukema and Favyen Bastani.
I’ll be presenting Presto at SERVIR’s Geo-AI Working Group. Join here on Wednesday May 1st at 10am CMT.