About Me

Machine Learning Scientist at Expedia

I specialize in solving complex natural language processing and retrieval problems and am currently working on introducing diversity and personalization in ranking at Expedia.

During my PhD, I built an LLM specializing in privacy policies and designed and developed PrivaSeer, a one-of-a-kind search engine indexed on over 4 million privacy policies (https://privaseer.ist.psu.edu).

More recently, I have been exploring multilingual NLP research grounded in a human-centered approach to building AI systems that are transparent, responsible, and aligned with real user needs.

News

2024

🌍✈️ I joined the text search team @ Expedia as a Machine Learning Scientist!!

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!