Awards

For searches for flavour changing neutral currents, ML for simulation, and self-supervised learning for jet classification.

One of two recipients of this award, which ‘honors outstanding graduate students in the Division of Physical Sciences who seek interdisciplinary approaches to problem solving and have a strong commitment to education, mentorship, and service.’

For ML-based fast simulation software, ML techniques for reconstruction, compression, and anomaly detection tasks, and a boosted Higgs to WW tagger for precision measurements.

For the talk ‘Deep Graph Neural Networks for Fast HGCAL Simulation’

For the project ‘HGCAL Fast Simulation with Graph Networks’

Sole recipient of this prize, which is ‘presented annually at commencement to a graduating physics student who is recognized for potential for a career in physics and a measure of experimental inquisitiveness.’

One of 33 students from the departments of Mathematics, Physics and Chemistry ‘recognized for excellence in academics and fundamental research’.

For the project ‘Arbitrary ultra-cold atomic lattices using holographic optical tweezers’