The goal of this research project is to develop new methodologies that will enable the synthesis of functionalised and optically active building-blocks through unprecedented organocatalysed pericyclic processes. The main transformations to be studied are: sigmatropic rearrangements, electrocyclic rearrangements, cheleotropic additions, and ene reactions. In all cases, the proposed methodology will enable the formation of multiple controlled stereocenters from simple and easily accessible starting materials.
This proposed research project is to develop and validate a method based on Capillary electrophoresis coupled with mass spectrometry to analyze amphetamine, methamphetamine, methylenedioxy-amphetamine, methylenedioxy-methamphetamine, and methylenedioxyethylamphetamine in real samples of drug seizures and natural weight loss pills, by first getting a basic understanding of CE-MS/MS technique and then applying it.
The company collects survey data from websites which is combined with behavioural data from survey respondents. This combined data set is information rich but can be too sparse for modelling purposes in a straight forward supervised learning context. As such, on-going research concerns optimizing the process by which non-survey related behavioural data can be leveraged to improve the robustness and efficacy of supervised models built using the combined survey/behavioural data alone.
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