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.
My research focusses on applications of machine learning to remote sensing for agriculture. We can learn a lot about global agricultural practices from satellite data, and we generate an enormous amount of satellite data. I investigate how machine learning algorithms can be applied to this satellite imagery. In particular, I think about how we can take advantage of the metadata which accompanies satellite imagery and agricultural data to improve machine learning in this regime.
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’m at ICLR in Kigali, helping to organize the Machine Learning for Remote Sensing Workshop. I’ll be moderating a panel at the workshop with Esther Rolf, Kristof Van Tricht, Abigail Annkah and Anthony Ortiz. Let me know if you’re at ICLR and would like to grab coffee!
We kicked off our food security project in Maui county (in partnership with Maui United Way, Responsible Markets and UHMC) visiting farmers and training students on Maui, Molokai and Lanai.
I taught introductions to machine learning to participants from RCMRD, as part of the Scalable Cropland Mapping component of the NASA SERVIR Eastern Africa Hub Training.