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 work with Dr. Lee Giles and Dr. Shomir Wilson in analyzing and simplifying privacy policies at scale. I designed and developed PrivaSeer, a one-of-a-kind search engine indexed on over 3.5 million privacy policies.
I work on making machine learning models fair and trustworthy. I am interested in understanding the biases in machine learning models and how to mitigate them.
July, 2023: We started a blog called Beyond Words and Algorithms where we share our research insights on ML and HCI.
July, 2023: Our paper Researchers’ Experiences in Analyzing Privacy Policies: Challenges and Opportunities won the best paper at PETS 2023!
July, 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!
July, 2023: I’ll be at ACL 2023 in Toronto, Canada. Come say hi!
June, 2023: I’ll volunteering at FAccT 2023 in Chicago, IL. Come say hi!
May, 2023: Our paper Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models was accepted in the TrustNLP Workshop at ACL 2023.
August, 2022: Our paper A Study of Implicit Language Model Bias Against People With Disabilities was accepted at COLING 2022.
May, 2022: I started working at Trustpage as a machine learning intern and worked on question answering and semantic similarity problems.
April, 2022: PhD milestone cleared: Comprehensive examination. I am now ABD!