Dr Amelia Drew

Drew, Amelia and Heinecke, Alexander, Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F), arXiv:1911.01933 (2019)

Drew, Amelia and Shellard, E.P.S., Radiation from Global Topological Strings using Adaptive Mesh Refinement: Methodology and Massless Modes, arXiv:1910.01718 (2019) 

Barack, L. ... Drew, Amelia ... et al., Black holes, gravitational waves and fundamental physics: a roadmap, Class. Quant. Grav., 34, 14 (2019) 

Burnet N. G. ... Drew, Amelia ... et al., Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary ‘VoxTox’ research programme, CERN IdeaSquare Journal, 1, 1 (2017) 

Conference Proceedings:

Drew, Amelia et al., Using computing models from particle physics to investigate dose-toxicity correlations in cancer radiotherapy, Journal of Physics: Conference Series, 895 (2016)

Scaife J. E. ... Drew, Amelia ... et al., Accuracy of manual and automated rectal contours using helical tomotherapy image guidance scans during prostate radiotherapy, Journal of Clinical Oncology, 33, 7 (2015) 

Selected Outreach: 

Talk at University of Cambridge Alumni Festival: ‘A Revolution in Physics’ (2021): www.alumni.cam.ac.uk/festival/events/a-revolution-in-physics

BlueSci Podcast: 'Mysteries of the Early Universe’ (2021): https://anchor.fm/bluesci-podcast/episodes/Mysteries-of-the-early-universe--with-Amelia-Drew-eq5lu9

Discovery Channel: ‘The Universe Unravelled in association with the Stephen Hawking Centre’ (2020); to appear in episodes to be aired in 2020.

Presentation at SIGGRAPH Conference, L.A. at Intel’s CREATE event about a vision for exascale computing: https://newsroom.intel.com/image-archive/images-siggraph-intels-vision-f... (2019)

University of Cambridge #WomenInSTEM campaign: www.cam.ac.uk/research/news/women-in-stem-amelia-drew (2019)

Promotional video with Stephen Hawking and other members of Centre for Theoretical Cosmology for Hewlett Packard Enterprise (HPE) about the benefits of in-memory computing to cosmological research: www.youtube.com/watch?v=MgGhfuxUc44 (2017)