About Me

I am a fifth year PhD student in the College of Information Sciences and Technology at Pennsylvania State University. My reserach focuses on building scalable information retrieval and natural language processing systems, and making machine learning models trustworthy and fair.

I designed and developed PrivBERT a privacy policy langauge model and PrivaSeer, a privacy policy search engine containing over 4 million policies aimed at at making privacy policies more accessible to the public.

I study biases in socio-technical systems. I designed appraoches to identify implicit and explicit biases in langauge models and identified instances of bias in sentiment analysis and toxicity detection models.

News

2024

I was selected to be a Liberatory Tech Scholar!! 🎉

🏆 I was the out-of-the-box winner of the bias-a-thon competition conducted by the Center for Socially Responsible Artificial Intelligence.

2023

🏆 Our paper The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis won the outstanding paper award at EMNLP 2023!

🏆 Our paper Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy Availability won the best student paper at DocENG 2023!

We started a blog called Beyond Words and Algorithms where we share our research insights on ML and HCI.

🏆 Our paper Researchers’ Experiences in Analyzing Privacy Policies: Challenges and Opportunities won the best student paper at PETS 2023!

🏆 Our paper Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models at ACL 2023 won the best paper award!

2022

Our paper A Study of Implicit Language Model Bias Against People With Disabilities was accepted at COLING 2022.

I started working at Trustpage as a machine learning intern and worked on question answering and semantic similarity problems.

PhD milestone cleared: Comprehensive examination. I am now ABD!