News EPFL

Andrew Oates, a passion for cycles

Published:25.08.20 — Summer series: A calling for research. Meet EPFL professor Andrew Oates who studies spinal column development in zebrafish.

Researchers launch video game exploring the effects of confinement

Published:20.08.20 — An interactive video game created by researchers and students in the EPFL College of Humanities (CDH) and UNIL Gamelab, in collaboration with the Initiative for Media Innovation (IMI) and Le Temps, allows users to explore a series of digital narratives that bear witness to the period of pandemic-induced isolation.

Kumar Varoon Agrawal prospects advanced purification processes

Published:19.08.20 — Summer series: science as a vocation. Kumar Varoon Agrawal, a tenure-track assistant professor who holds the Gaznat Chair for Advanced Separations at EPFL Valais-Wallis, is developing advanced membranes for the molecular separation of industrial product streams, mainly for CO2 capture.

Modeling avalanche protection in forests

Published:19.08.20 — Two EPFL students have compared the ability of a forest in Vaud Canton to protect against avalanches before and after it was ravaged by fire in 2018. Their method could be applied to other forested slopes, helping to enhance local reforestation strategies.

Unraveling the initial molecular events of respiration

Published:18.08.20 — Physicists from Switzerland, Japan and Germany have unveiled the mechanism by which the first event of respiration takes place in heme proteins.

New tool helps interpret future searches for life on exoplanets

Published:18.08.20 — One way to determine whether there is life on another planet is to look for biosignatures in the light that is scattered off its atmosphere. Scientists at EPFL and University of Rome Tor Vergata have developed an original model that interprets the results of that analysis.

Bringing computational music analysis beyond the traditional canon

Published:17.08.20 — Scientists in EPFL’s Digital and Cognitive Musicology Lab (DCML), led by Martin Rohrmeier, have used data science and statistical techniques to characterize the musical style of choro, a primarily instrumental genre from Brazil, for the very first time.