My research is motivated by understanding the computational foundations of intelligent behavior, often through the lens of natural language. I am excited about intelligence amplification — building computational models that would augment human experience in a mutually interdependent fashion. The dominant majority of my research is aligned with natural language processing (ACL, NAACL, EMNLP), machine learning (ICLR, NeurIPS, ICML) and artificial intelligence (AAAI, IJCAI).