Ananjan Nandi

Welcome to my site!

I am a first year MS Computer Science candidate at Stanford University. I was previously an undergraduate student at the Department of Computer Science, IIT Delhi. My current interests lie in the field of Natural Language Processing, specifically, understanding and eliciting reasoning capabilities in Large Language Models for complex tasks. I have prior research experience in the fields of NLP, ML on Graphs, remote sensing, drug discovery and extreme classification.

I am currently working on projects at Stanford NLP under the supervision of Prof. Chris Manning and Prof. Diyi Yang. I am working on understanding and improving compositional generalization in transformer architectures under the supervision of Shikhar Murty and Prof. Manning. I am also working on improving CARE: an AI-powered platform to train peer counselors through suggestion generation based on conversation history in Prof. Diyi Yang’s lab.

I have previously worked on augmentation and ensembling techniques for Knowledge Graph Completion at the Data Analytics and Intelligence Research group under the supervision of Prof. Mausam and Prof. Parag Singla. I have also worked on the generation of Land Use-Land Cover maps from satellite time series data in the Appropriate Computing Technologies for Development group under the supervision of Prof. Aaditeshwar Seth.

I have done a 7-month stint as a part-time AI researcher intern at KnowDis Data Science, where I worked on problems related to NLP (multilingual idiom alignment, spelling-robust language identification), extreme classification, and drug discovery. I also interned at D.E. Shaw India as a Member Technical Intern in the Strategy Tech department at the end of my third year in college. I have played table tennis at the inter-hostel level and cricket at the inter-club level, and also enjoy quizzing and video games.