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Harnessing Machine Learning for Particle Physics

Harnessing Machine Learning for Particle Physics

We are delighted to announce the exceptional achievement of K Medlin, a graduate student within our department, who has been selected as one of the eight distinguished awardees of the DOE Office of Science Graduate Student Research (SCGSR) program. Medlin will spend six months at Argonne National Laboratory, collaborating with Krishnan Raghavan, a computational mathematician in Argonne’s Mathematics and Computer Science (MCS) Division, to pioneer a machine learning algorithm tailored to address the challenges posed by imbalanced data. Under Raghavan’s mentorship and with the support of the SCGSR program, Medlin will focus on customizing this algorithm to detect rare fusion events amidst the intricate web of subatomic particle interactions observed by the ATLAS particle accelerator.

To find out more about K’s exciting opportunity, check out Argonne’s announcement. Congratulations K!