Teresa Yeo

About Teresa Yeo

I am a Research Scientist at Google DeepMind. <br><br> My research mostly focuses on scalable methods for continual adaptation, including generating targeted training data and gradient-free adaptation methods. More recently, I've been interested in adapting generative models to create visually rich and interactive outputs.<br><br> My PhD was at <b>EPFL</b> supervised by <i>Amir Zamir</i>, on making models more reliable under changing environments. I was also a postdoc at the <b>Singapore-MIT</b> research centre working on neurosymbolic methods for efficient adaptation. In my past life, I was a quant in New York and London and worked on creating systematic investment strategies (or, a glorified coin flipper).

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