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.

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profile photo



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.

ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models
Salva Rühling Cachay*, Venkatesh Ramesh*, Jason N.S. Cole, Howard Barker, David Rolnick
NeurIPS Track on Datasets and Benchmarks, 2021
Also: NeurIPS 2021 Tackling Climate Change with ML workshop (Spotlight)
arXiv / OpenReview / code / poster / slides /

End-to-End Weak Supervision
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
Neural Information Processing Systems (NeurIPS), 2021
arXiv / code / poster / slides /

The World as a Graph: Improved El Ni˜no Forecasting with Graph Neural Networks
Salva Rühling Cachay, Arthur F. Bucker, Willa Potosnak, Ernest Pokropek, Emma Erickson, Suyash Bire, Salomey Osei, Björn Lütjens
Under review at IEEE TNNLS, 2021
Also: NeurIPS 2020 Tackling Climate Change with ML workshop
arXiv / code / poster / slides / talk /

Dependency Structure Misspecification in Multi-Source Weak Supervision Models
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
ICLR Weakly Supervised Learning workshop (Oral), 2021
Also: NeurIPS 2020 LatinX in AI workshop (Oral)
arXiv / poster / slides / talk /

Credits to Leonid Keselman and Jon Barron