What if human analysis, combined with machine learning, could advance the study of the universe? The U.S. Department of Energy awarded Fermilab scientist Brian Nord a $2.5 million Early Career Research Award to explore that possibility. Nord has envisioned a new hybrid data-analysis method to undertake the project. It integrates the strengths of artificial intelligence and interpretations of statistics in ways that could potentially advance the studies of cosmology.
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.
The DOE’s Office of Science has selected two Fermilab scientists to receive the 2021 DOE Early Career Research Award, now in its 12th year. Farah Fahim and Brian Nord have received the prestigious award, which is designed to bolster the nation’s scientific workforce by providing support to exceptional researchers during the crucial early years.
Overview Universities Research Association, Inc. (URA) makes an award for outstanding work conducted by an early career researcher at Fermilab or benefiting the Fermilab scientific program. The award is presented at the June Fermilab Users Meeting. Awardees receive $10,000 from URA and present their work at the Users Meeting. Eligibility All Ph.D. researchers at Fermilab or URA member institutions who are within six years of their initial appointment to a tenure-track or a Fermilab tenure-track equivalent position* as of the…