I am a Ph.D. candidate (she/her) in the Minnesota NLP group led by Prof. Dongyeop Kang at the University of Minnesota Twin Cities. I am co-supervised by Prof. Jaideep Srivastava who leads the Data Mining and Research Group (DMR) at the University of Minnesota Twin Cities. I also work as a research assistant to Prof. Jisu Huh, who heads the Minnesota Computational Advertising Laboratory (MCAL).

Broadly, my research aims to combine NLP with computational social science. Specifically, I am interested in learning about people — how user preferences, social cues, and contextual factors influence and drive user behavior — in online social media settings. I am also interested in exploring the stylistic analysis of user text content. I have adopted a variety of deep learning, natural language processing, graph, and statistical methods towards my interest in Computational Social Science.

I obtained my Master’s degree in Computer Science from the University of Minnesota, Twin Cities, and my Bachelor’s degree in Computer science from PES University, Bangalore, India.

Updates

• Nov 2024 - Honored to be a speaker at the Women in AI and DS Conference 2024 and discussed the impact of artifacts in LLM-generated data with an incredibly talented crowd!
• Sept 2024 - I received the 2024 AnitaB.org Advancing Inclusion scholarship!
• July 2024 - Our paper “Publics’ Perceptions of Legitimacy in Corporate Social Advocacy: A Computational Analysis of the Influence of Ideological Congruence” is published in Public Relations Review🥳
• July 2024 - Gave a talk titled “Beyond Words: Incorporating Graph Data into LLMs for Comprehensive Social System Analysis” at IC2S2 2024! P.S The cheesesteak is just fantastic at Philadelphia 🤤
• June 2024 - Presented my paper “Which Modality should I use – Text, Motif, or Image? : Understanding Graphs with Large Language Models” at NAACL 2024 in Mexico City! [Tweet]
• June 2024 - I am thrilled to be interning at Microsoft Research this summer!
• May 2024 - Presented my recent paper on LLM-generated artifacts at Megagon Labs, along with Dongyeop Kang
• April 2024 - Passed my Thesis Proposal Exam ✌🏽 One more exam to go until my defense!💪🏼
• Mar 2024 - “Which Modality should I use – Text, Motif, or Image? : Understanding Graphs with Large Language Models” is accepted at NAACL 2024 Findings!🥳
• Jan 2024 - “Under the Surface: Tracking the Artifactuality of LLM-Generated Data” is finally out on ArXiv. 🆕 This paper marks my first venture as a project team lead and MinnesotaNLP’s first lab-wide project!