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 analyze how consumption of low-quality information on online platforms and Generative AI technologies impacts human behavior and perpetuates harms, including bias and inequity.

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 these systems and make them safer to use. My previous relevant work includes understanding the dynamics of cross-domain misinformation, conducting cross-lingual evaluations of LLMs for healthcare queries, and understanding hallucinations in LLMs for healthcare domain. Through my research, I aim to uncover 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

  • [May 2024]: Started my research internship in the Human-Centered AI (HCAIX) group at Microsoft Research😄.

  • [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 🥳. Pre-print 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.


Experience

Georgia Tech Icon [2022-Present] Second year CS PhD student working with Prof. Munmun De Choudhury in the School of Interactive Computing at Georgia Tech

Microsoft Research Icon [2024-2024] Interned within the Human-Centered AI Experience (HCAIX) group, where I collaborated with Dr. Jina Suh and Dr. Javier Hernandez. My work focused on investigating the psychological implications of interacting with AI conversational agents.

Microsoft Icon [2020-2022] Worked as a Software Engineer at Microsoft IDC. Worked on developing language models for Automatic Speech Recognition systems. I also worked in the developer segment on Bing.com that is responsible for presenting coding/development related answers to the user queries.

Georgia Tech Icon [2021-2022] Collaborated as an external Research Associate at Georgia Institute of Technology with Prof. Munmun De Choudhury. My work dealt with the analysis of changes in the workplace culture during the COVID-19 pandemic. Our project aimed to build a prediction model that can be used to predict the chances of success for an organization in creating a healthy working culture in the post COVID-19 era.

SMU Icon [2021-2022] Worked as an external collaborator with Dr. Jisun An from Singapore Management University. The project aimed at analyzing the rising problem of Islamophobia in the Indian Sub-continent. Specifically, we are performed a user level study to analyse the patterns in spread of online hate against the Muslim community.

Precog Icon [2018-2020] Worked as a Research Assistant with Prof. Ponnurangam Kumaraguru for my masters thesis. My work focused in the area of content moderation. I worked on detection and analysis of hate speech on social media platforms. During this period, I worked on general purpose abuse detection, multimodal Antisemitism detection and large-scale quantitative study analyzing Islamophobia.

IIIT Hyderabad Icon [2017-2020] Worked as a Teaching Assistant for Statistical Methods in AI (twice), Design and Analysis of Software Systems (twice), Operating Systems and Distributed Systems. Responsible for setting up the assignments, evaluating papers and conducting tutorials.