I am a third-year Ph.D. student in Computer Science at Georgia Tech, where I am advised by Prof. Srijan Kumar. I develop robust and data-efficient multimodal and NLP approaches [ACL'23(a)] [ACL'23(b)] [EMNLP'22] to solve problems that impact safety [WWW'22], equity [ICWSM'22], and well-being [SciRep'22] on the Web. My technical research interests include: multimodal deep learning, natural language processing, and computational social science. At Georgia Tech, I also collaborate closely with Prof. Munmun De Choudhury. I am honored to be supported by the JP Morgan AI PhD Fellowship and Snap Research Fellowship. [ 📄 CV (pdf)]
In Summer 2023, I was a research intern at Microsoft Research (FATE), mentored by Dr. Alexandra Olteanu, Dr. Su Lin Blodgett, and Dr. Koustuv Saha, where I investigated LLM-based generative search systems. Previously, I was a research intern at Adobe Research (Summer 2022) where I was mentored by Dr. Ani Nenkova and Dr. Ryan A. Rossi. I worked on modeling text visualness using large vision-language models.
Outside of Computer Science, I am also interested in Science, Technology, and Innovation Policy. I am pursuing a minor in the School of Public Policy at Georgia Tech, where I work with Prof. Philip Shapira and Prof. Barbara Ribeiro on studying how Artificial Intelligence technologies contribute to public values. [AI 🤝 Policy]
I completed my undergraduate studies at the Indian Institute of Technology Kanpur. At IIT Kanpur, I worked with Prof. Tanaya Guha on learning modality-independent representations for affective analysis and retrieval of multimedia. Before starting my doctoral studies at Georgia Tech, I was at Adobe Research (India), where I worked on a wide range of research projects, like stylistic analysis and generation, multimodal content synthesis, and search query construction. I am a co-inventor of several patented/patent-pending technologies, including #ProjectSnippets (TechCrunch). Please see the Publications page for more details on published papers and patents.
• JP Morgan AI Ph.D. Fellow (2023)
• Snap Research Fellow 👻 (2022)
• College of Computing Rising Star Doctoral Student Research Award (2022)
• Adobe Research Ph.D. Fellowship Finalist (2022)
• Best Paper Runner-up Award at WISE 2021
• AAAI ICWSM-2021 Best Reviewer Award
Academic Service: Program Committee Member/Reviewer for:
Conferences: AAAI 2023, KDD 2023, ACL 2023, CHI 2023 (💐 Special Recognition for Outstanding Reviews), TheWebConf (WWW) 2022 & 2023, ACL Rolling Review, EMNLP 2021, ACL-IJCNLP 2021, ICWSM 2021 (💐 Best Reviewer Award), ICWSM 2022, ACII 2021, CODS-COMAD 2022, and ECIR 2020.
Journals: ACM Transactions on Computer-Human Interaction, Data Mining and Knowledge Discovery
Apart from research, I love to spend most of my time reading books (📚). I also have some affinity for sports – basketball (🏀) and table tennis (🏓). The quickest way to get in touch would be through email (📧). I am also somewhat active on Twitter. More details are available in the Contact section.