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Teresa Yeo

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Currently postdoc-ing at the <b>Singapore-MIT Alliance for Research and Technology</b> working on neurosymbolic methods with applications ranging from maths to embodied AI. <br><br> I did my PhD at <b>VILAB, EPFL</b> supervised by <i>Amir Zamir</i> and <i>Pierre Dillenbourg</i>. My research is on the intersection of computer vision and machine learning and in particular, making models more robust and adaptive. Before that, I did a Master in Machine Learning at the <b>University of Cambridge</b>, with a focus on bayesian methods. In my past life, I was a quant in New York and London and worked on creating systematic investment strategies for equity portfolios (or, a glorified coin flipper).

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