Salva Rühling Cachay
I am a second-year PhD student at UC San Diego, advised by Prof. Rose Yu.
My goal is to develop and use machine learning (ML) methods for positive real-world impact in areas like climate modeling, weather forecasting and sustainability. On the ML side, I am particularly interested in self-supervised learning, large-scale forecasting, and generative modeling.
I was a research intern at the Allen Institute for AI (AI2) and Palo Alto Research Center (PARC) during the summers of 2023 and 2022, focusing on machine learning for climate modeling. Before, I had the pleasure to work with Prof. David Rolnick on climate change+ML at Mila - Quebec AI Institute.
I got started in ML research through a project on weakly supervised learning with Ben Boecking and Prof. Artur Dubrawski at Carnegie Mellon University's Auton Lab. I also led a diverse team of fellow undergraduates in our research project on improving El Niño forecasts with graph neural networks, in terms of both performance and interpretability. We were supported by a Microsoft AI for Earth grant (see our spotlighted profile).
I am German-Peruvian, and was privileged to be able to grow up in both countries and that volunteering/work enabled me to have a wonderful time living in Colombia, India, and Canada for extended periods of time. I enjoy immersing myself into nature and new cultures, dancing, beach life, and exotic fruits.
Please don't hesitate to reach out if you have any questions, are interested in my research, or just want to chat! I'm particularly happy to support underrepresented minorities :)
news
Feb 2024 | Excited to join Arash Vahdat’s team at NVIDIA as a research intern this summer! |
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Dec 2023 | New blog post on DYffusion released! |
Sep 2023 | DYffusion was accepted at NeurIPS 2023! |
Mar 2023 | Interning this summer at AllenAI’s climate modeling team! |
Oct 2022 | Organizing a workshop on climate+ML & giving an oral presentation at the Graduate Climate Conference in Pack Forest, WA! |