I'm a third-year PhD student in Machine Learning at Georgia Tech working on natural language processing under the supervision of Prof. Wei Xu.

Research Interests:

My research interests generally lie at the intersection of machine learning and natural language processing. More specifically, I am interested in the following topics:

• Cultural Biases and Fairness in Large Language Models (ACL 2024)

• Multilingual Simplification & Readability Assessment (EMNLP 2024, ACL 2023)

• User Privacy Protection on Social Media (ACL 2024)

• Misinformation Detection on Social Media (EMNLP 2022)
  
  

In the past, I've worked on  topics within wireless communications research including analysis of radiation levels in 5G networks (IEEE 5GWF'20), and design optimization of antenna structures (IEEE Access'22). I've also developed  a segmentation-based algorithm for data clustering (CVPR 2022) and collaborated with engineers in the oil industry to develop models for geological well placement optimization (JPSE'23, US Patent'24). 

News:

08/2024 - Won the Best Social Impact Paper Award at ACL 2024 for my paper on cultural biases in LLMs

03/2024 - My latest work explores western culture bias in language models

11/2023 - New work out on the use of language models to reduce privacy risks

11/2023 - We introduce a new benchmark for multilingual multi-domain readability assessment, available on github!

Media Coverage:

04/2024  - My research on cultural biases in LLMs has received press coverage by VentureBeat

Community Service:

• Organizer with the Fatima Fellowship, an international mentorship program for aspiring computer science researchers.