My Research

August 2021 - February 2022

I worked alongside Professor Grace Yang at InfoSense. We developed an approach to incorporate human eye tracking data into pre-trained transformer models for ad hoc retrieval. Our work has been published in the ACM Digital Library and was accepted to the International Conference on the Theory of Information Retrieval. I presented this work in a joint conference with SIGIR and ICTIR in Madrid, Spain, July 2022. I created a graduate course, Neural Information Retrieval with Professor Yang in August 2021 to facilitate research for this project.

March 2021 - February 2022

In my first project with the Georgetown InfoSense Lab, I assisted Sibo Dong, a PhD candidate at Georgetown with a neural index to improve retrieval efficiency on Nueral Information retrieval approaches. Our paper was accepted to SIGIR as a workshop paper and will be published in the ACM Digital Library. In June and July 2021, I received funding for this work from Georgetown as a Royden B. Davis Fellow. Read more about my experience as a Davis Fellow here.

October 2020 - January 2021

This paper aimed to offer a proof of concept on transparent smart auto insurance using blockchain technology. I gained experience implementing this proof of concept in Java. You can read about our approach below on Arxiv.