Rheeya Uppaal

I am a second year PhD student at the University of Wisconsin-Madison, where I work with Prof Junjie Hu on building language models that are robust and reliable under distribution shift. Specifically, my primary area of interest lies in developing algorithms for adapting models to domains with low supervision, in addition to enabling models to learn meaningful representations aligned with human understanding.

Prior to my PhD, I was a Machine Learning Researcher at Goldman Sachs CoreAI, where I worked on information extraction from text in the financial domain. I completed my Masters in Computer Science at UMass Amherst, where I worked in the Information Extraction and Synthesis Lab under Prof Andrew McCallum, and in the Information Fusion Lab under Prof Madalina Fiterau. I started my journey of research as an undergraduate, under the wonderful guidance of Prof Balaraman Ravindran at IIT Madras, where I worked on Object Tracking and Classification in video data. I was introduced to the world of Machine Learning by Prof Emma Brunksill at the OurCS Workshop at CMU.

You can find my single page Resumé here, or a more detailed CV here.