Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

The College of Natural Sciences welcomed more than a dozen new tenured and tenure-track faculty members in 2025.

Understanding the intricate web of connections within the human brain remains one of the greatest challenges in science. This complex network of billions of neurons, communicating through brief ...

Causal inference is crucial in biological research, as it enables the understanding of complex relationships and dynamic processes that drive cellular behavior, development, and disease.

Caltech researchers have developed a powerful new method for creating embryo-like structures from stem cells that could transform how we study fertility. Using stem cells rather than a traditional ...