Salva Rühling Cachay
salvaruehling at gmail dot com
I am a first-year PhD student at UC San Diego, advised by Prof. Rose Yu.
I was a research intern at Palo Alto Research Center (PARC) in summer 22
(and continue being affiliated as a visiting researcher)
working with Dr. Kalai Ramea
at the intersection of climate modeling and machine learning (ML).
Before, I had the pleasure to be researching at Mila - Quebec AI Institute,
with Prof. David Rolnick on climate change+ML.
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, travelling, and exotic fruits.
As I now live in sunny San Diego, surfing will probably be on that list soon too!
Google Scholar /
My goal is to develop and use machine learning methods for positive real-world impact in areas like
climate science, climate change, and sustainability.
On the machine learning side, I am particularly interested in self-supervised learning,
graph structure learning, spatiotemporal forecasting, and conditional generative modeling (including diffusion models, of course :).