Events

CDS Seminar Series: AI-Powered Denoising for Scientific Discovery

Speaker: Carlos Fernandez Granda

Location: 60 Fifth Avenue, Room 150

Date: Friday, November 14, 2025

Deep neural networks are the state of the art for many signal-processing tasks, including image denoising. However, applying these models to real-world scientific data presents substantial challenges. In this talk, we discuss these challenges and introduce a series of simulation-based, unsupervised, and semi-supervised strategies designed to overcome them. We demonstrate that these approaches perform effectively on real electron microscopy data, revealing previously unobserved atomic-level dynamics in catalytic nanoparticles.
Bio: Carlos is the CDS Interim Director and an Associate Professor of Mathematics and Data Science. His research group designs and analyzes data-science methodology. Currently, their main focus is machine learning, and its application to medicine, computational biology, climate science and scientific imaging.