Anku Rani is a graduate researcher in the Viral Communications group at MIT Media Lab, investigating machine learning models for video generation along with projects in the intersection of NLP and HCI.  She previously conducted research at Adobe Research on multimodality, mathematical reasoning, and attribution. At the University of South Carolina's Artificial Intelligence Institute, her research focused on fact verification and deception.

Her work has been published in leading conferences (google scholar), and she actively contributes to the academic community through conference reviews (ACL, EMNLP, AAAI, LREC, COLING, NAACL), workshop organization (AAAI'23, AAAI'24), and program committee service. She is a two-time AAAI scholarship recipient (2023, 2024) and has been awarded a travel grant at ACL 2023 to present her work.

Anku has also worked as a research scientist with the health tech startup Shaip AI, and previously as an NLP Engineer for the research and development ML team at Cactus Communications. She has been a Data Scientist at Verisk Analytics, a US-based InsurTech company, following her postgraduate studies in AI and ML. Before her postgraduate work, she was involved in data science and analytics roles at early-stage Edtech and fintech startups. Anku has also consulted for universities, startups, and government organizations.

I am hiring UROPs for Spring 2025 at MIT! Please shoot an email to ankurani@mit.edu. This position is only for students at MIT.