Jaspreet Ranjit

I am a 2nd Year PhD Student at the University of Southern California advised by Prof. Swabha Swayamdipta in the NLP department at the DILL Lab. My research interests lie in investigating societal biases in datasets, measuring the propagation of such biases learned by models in downstream tasks and reasoning about the broader implications of fairness in applications of NLP for social good.

Previously, I was a Research Assistant in the Vision, Language and Learning Lab, working with Prof. Vicente Ordóñez - Rice Univ. and Tianlu Wang - Meta Research on exploring gender biases in Visual Recognition Models. I was also a member of the Link Lab under the mentorship of Prof. Madhur Behl - Univ. of Virginia where I researched methodologies for better traffic scene understanding that contribute to the safety of autonomous vehicles. In my internship at Vimeo, I developed a framework to identify biases in search and recommendation models and prototyped Learning to Rank models for video based search.

I graduated with my Master’s in Computer Science from the University of Virginia in December 2021. I received my Bachelor of Science at the University of Virginia in Computer Science as a Rodman Scholar. Here is a link to my curriculum vitae.