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. I am also interested in interdisciplinary research with a machine learning foundation. So if you’re interested in projects such as applications of ML in tracking geo-spatial changes (e.g., climate
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determined by combining the observed space density of galaxies, the measured spatial distribution of galaxies and simulations of the dark matter distribution. Example themes for student projects follow and
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spatial and temporal dimensions Quantitative functional lung imaging using near field X-ray speckle Ultra-low dose Computed Tomography for lung, brain or breast imaging. Dark field X-ray imaging Translating
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" (with Prof Kris Helmerson) "High-bandwidth continuous magnetic sensing of an ensemble of electric spins" (with Prof Kris Helmerson) "Developing a spatially sensitive optical magnetometer catheter probe
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-cultural and spatial dynamics intersect and influence urban design, architecture and policy. At once collaborative and discursive, this evidence-based approach has repeatedly shown that developing inclusive