Mary Magnuson

Photo of a dome-shaped building, likely an observatory, atop a mountain, which gold mist surrounds. Blue sky and silhouette of birds above.

When the COVID-19 pandemic hit, travel bans and stay-at-home orders meant astrophysicists collaborating on the Dark Energy Survey needed to find a new way to conduct their observations using the Dark Energy Camera.

Fahim AI on-chip data processing work

The U.S. Department of Energy awarded Farah Fahim an Early Career Research Award to investigate how deploying neural networks and machine learning on a particle detector can allow data processing at source. Her work could make data processing at detectors more efficient, improving fundamental research at physics facilities like the LHC at CERN.

A man with close-cut brown hair and beard wears blue glasses and smiles at camera. In the background, blurred mountains, valley and sky.

The U.S. Department of Energy’s Fermi National Accelerator Laboratory has selected David Biedenbender as its 2021-22 guest composer. The program, now in its second year, provides a composer the opportunity to interpret Fermilab research through music and celebrate the relationship between art and science. Biedenbender has a history of creating music inspired by physics.

A man with brown chin-length hair in profile. He tucks his hair behind an ear with one hand and holds a small wire geometric sculpture in the other. He wears a dark outfit and is against a light gray wall.

Fermilab has selected California-based visual artist Mark Hirsch as its 2021-22 artist-in-residence. The program, now in its seventh year, connects physics and art. Hirsch, who uses computer models and coding for his art, will draw on his data visualization background to make Fermilab science more accessible and intriguing to the public.

A photo of a woman with long, bright-orange hair, wearing sunglasses on top of her head and a light green T-shirt, smiling. Behind her, greenery.

Whether in Serbia or Chicago, Fermilab postdoctoral researcher Aleksandra Ćiprijanović is working to unlock the secrets of the night sky. As a member of the Deep Skies Lab, an international collaboration of physicists, she’s figuring out how to use artificial intelligence and machine learning to better handle the huge amounts of data needed for discovery science.