About Me

I am a Ph.D. student in the Department of Computer Science at Purdue University, specializing in Natural Language Processing. I have the privilege of working under the supervision of Prof. Dan Goldwasser. My research interests primarily revolve around the intersection of Natural Language Understanding, and Computational Social Science. I am particularly fascinated by the potential of leveraging computational techniques to gain insights into political discourse and understand how it influences societal dynamics. Currently, my focus lies in developing a framework to analyze and characterize diverse political perspectives found in online news media. The goal is to effectively combat Information Pollution.

Before joining Purdue, I obtained my M.S degree in Computer Science and Engineering from The Pennsylvania State University, USA in 2021. During my time at Penn State, I had the opportunity to work at the intersection of computer science and economics. I was the lead graduate student involved in developing a synthetic prediction market that aimed to evaluate the credibility of published claims in the field of social and behavioral sciences literature. This project was an integral part of the DARPA SCORE initiative.

Prior to pursuing graduate studies, I worked as a Data Scientist at MiQ, a digital advertising firm, where I developed solutions to estimate the best match between advertisers and internet users while considering economic constraints. I earned my B.Tech. degree in Computer Science and Engineering from PES University, India, in 2018.

In my leisure time, I enjoy outdoor activities, particularly hiking and mountain climbing. It gives me a sense of satisfaction and connection with nature. Apart from that, I also play Shuttle Badminton, Squash, and Cricket.

My resume can be found here.

Publications

N. Nakshatri, S. Liu, S. Chen, D. Hopkins, D. Roth, D. Goldwasser, Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries, Findings of EMNLP, 2023. [presentation, video]

S. Roy, N. Nakshatri, D. Goldwasser, Towards Few-Shot Identification of Morality Frames using In-Context Learning, Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science, EMNLP 2022.

S. Rajtmajer, C. Griffin, J. Wu, R. Fraleigh, L. Balaji, A. Squicciarini, A. Kwasnica, D. Pennock, M. McLaughlin, T. Fritton, N. Nakshatri, A. Menon, SA. Modukuri, R. Nivargi, X. Wei, CL. Giles, A synthetic prediction market for estimating confidence in published work, Proceedings of the AAAI Conference on Artificial Intelligence, Demonstrations Program, 2022.

N. Nakshatri, A. Menon, CL. Giles, S. Rajtmajer, C. Griffin, Design and analysis of a synthetic prediction market using dynamic convex sets, Results in Control and Optimization, 2021.

J. Wu, R. Nivargi, SST. Lanka, A. Menon, SA. Modukuri, N. Nakshatri, X. Wei, Z. Wang, J. Caverlee, S. Rajtmajer, CL. Giles, Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models, arXiv, 2021.

Teaching

I firmly believe that comprehension of concepts holds greater significance than mere memorization. This conviction motivates me to make dedicated efforts in inspiring students to recognize the importance and real-world impact of the subjects they are studying. I have had the privilege of serving as a graduate teaching assistant for three consecutive semesters: Fall 2021, Spring 2022, and Fall 2022, in the course titled 'CS 18000 - Problem Solving and Object-Oriented Programming'. I am thrilled to share that my dedication and efforts in this course have been recognized, as I have been honored with the prestigious Graduate Teaching Award.

Honors and Awards

• Summer 2023: Graduate School Summer Research Grant
• Fall 2022: Graduate Teaching Award
• Fall 2015 - Spring 2018: Dr. CNR Rao Merit Scholarship (PES University)
• Fall 2014: MHRD Scholarship (Govt. of India)