Salva Rühling Cachay
salvaruehling at gmail dot com
I am an incoming PhD student at UC San Diego, advised by Prof. Rose Yu.
Currently, I'm a research intern at Palo Alto Research Center (PARC) working with
Dr. Kalai Ramea at the intersection of climate modeling and machine learning (ML).
Before, I was lucky to be researching at Mila - Quebec AI Institute,
with Prof. David Rolnick on tackling climate change with machine learning.
Previously, I had the pleasure to work on weakly supervised learning as a research intern
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 had the luck to be able to grow up in both countries (volunteering and work
also enabled me to have a wonderful time living in Colombia, India, and Canada for extended periods).
I enjoy immersing myself into nature and new cultures, travelling, and exotic fruits.
CV /
GitHub /
Google Scholar /
LinkedIn /
Twitter
|
|
Research
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- and semi-supervised learning,
graph representation learning, robustness to distribution shifts, and weak supervision.
|