Broadly: materials science, applications of machine learning, autonomous experimentation
Projects I’ve worked on previously:
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A new method for intelligent exploration of design spaces beyond Bayesian optimization. With Bayesian algorithm execution (BAX), any design space exploration question can easily be optimized, e.g.: “find synthesis conditions for nanoparticles with dispersity <5% and sizes of {10, 20, 30} ± 0.5nm”.
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Invented a way to make covalent organic frameworks (‘COFs’) in water, in minutes, using ultrasound. Usually they are made in toxic organic solvents over 3 days in an oven at 120 °C.
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Created a method to 3D print pure metal-organic framework (‘MOF’) monoliths without binder by extruding a colloidal gel of MOF nanoparticles.
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Discovered a new family of hypophosphite-based hybrid perovskites
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Used in situ X-ray diffraction to understand the formation processes of MOFs.
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Reported the first full characterisation of negative thermal expansion in MOFs.
See my Google scholar for a full list of papers.