About Me
I am a third-year CS PhD student in the School of Interactive Computing at Georgia Tech, where I'm advised by Prof. Munmun De Choudhury. Using computational techinques from Natural Language Processing (NLP) and theories from Sociology and Psychology, my research takes a human-centered approach to evaluate and improve the quality of information produced through Generative AI technologies. Focusing on attributes such as actionability, personalization, and the potential negative implications of the generated content, my work aims to align information generation and delivery with human preferences, needs, and ethical considerations..
In my dissertation, I explore the nuanced aspects of interactions between humans and online/Generative AI platforms, focusing on how variations in user backgrounds, purposes of use, and historical engagement influence the quality of information and services provided. My research aims to define and quantify low-quality information within these contexts in healthcare and mental health, establishing metrics to evaluate and improve these systems and make them safer to use. Through my research, I aim to uncover and reduce systemic issues within Generative AI technologies through systematic frameworks, providing data-driven insights to policymakers, researchers, and developers for creating more equitable, safe and user-centered AI systems.
Previously, I worked as a Software Engineer at Microsoft where I got an opportunity to work on NLP and Data Science related problems on Automatic Speech Recognition Systems and Bing. I graduated from International Institute of Information Technology, Hyderabad with B.Tech (Honours) and M.S in Computer Science and Engineering. I was advised by Prof. Ponnurangam Kumaraguru and Dr. Manish Shrivastava for my masters thesis, Towards A More Holistic Approach On Online Abuse and Antisemitism.
Updates
[October 2024]: Our work Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use available as pre-print now! ArXiv Link
[October 2024]: Our work ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment has been accepted to EMNLP 2024.🥳 Paper Link
[September 2024]: Our work MEDHALU: Hallucinations in Responses to Healthcare Queries by Large Language Models available as pre-print now! ArXiv Link
[May 2024]: Started my research internship in the Human-Centered AI (HCAIX) group at Microsoft Research.😄
[April 2024]: Passed my Ph.D. Qualifiers at Georgia Tech.📚🥳
[January 2024]: Our work Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries has been accepted to the Web Conference 2024.🥳 Paper Link
[October 2023]: Our work Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic available as pre-print now! ArXiv Link
[January 2023]: Our work What Makes Some Workplaces More Favorable to Remote Work? Unpacking Employee Experiences During COVID-19 Via Glassdoor has been accepted at the proceedings of 15th ACM Web Science Conference (WebSci’23). Paper Link
[August 2022]: Joined Georgia Tech as a CS PhD student :) Go Jackets!
[July 2021]: Our work “A Virus Has No Religion”: Analyzing Islamophobia on Twitter During the COVID-19 Outbreak has been accepted at the proceedings of 32nd ACM Conference on Hypertext and Social Media (HT ’21). Paper Link
[June 2021]: Invited as a speaker at the AI/ML Venture event organised by Girl Up Ahsaas. I'll be talking about getting started with academic research and opportunities in the industry.