Sahand Jamal Rahi

Sahand Jamal Rahi is a Tenure Track Assistant Professor in the Department of PHY at École Polytechnique Fédérale de Lausanne. His research interests include biophysics, statistical mechanics, systems biology, computational biology, and genetics. Rahi is affiliated with the Laboratory of the Physics of Biological Systems and contributes to teaching and PhD programs in computational and quantitative biology and physics. He is also involved in administrative roles within the Institute of Bioengineering and the Doctoral Programs at EPFL.

Sahand Jamal Rahi is an Assistant Professor at the Laboratory of the Physics of Biological Systems, EPFL, specializing in biophysics, quantitative biology, systems biology, systems neuroscience, and deep learning. His research integrates computational and theoretical approaches to understand biological systems, with a focus on machine learning applications in biomedical contexts. Rahi's work includes developing deep learning models for biomedical image analysis, such as segmenting yeast microscopy images and automated neuron tracking in C. elegans. He also explores the physical principles underlying biological processes, including the role of Casimir forces in biophysical systems. His research bridges theoretical physics and computational biology, aiming to uncover fundamental mechanisms in cellular and systems-level dynamics.