-
and children's observed birth events and their actual health and well-being outcomes. The latest machine learning and artificial intelligence advancements can mine these datasets to create prediction
-
, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
-
predictably to in-context demonstrations? What controls their ability to generalize, even when it contradicts their training? This project will involve developing a theoretical framework to explain in-context
-
" (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
-
comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
-
I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays
-
of their remnants (including predictions for GW sources); mixing and transport processes in the stellar interior; nucleosynthesis and the origin of elements, including galacto-chemical evolution - which elements