I’m broadly interested in Machine Learning, with specific interests in the intersection of Natural Language Processing and Reinforcement Learning (i.e. language grounding, text-based games, etc.), Interpretability & Robustness (i.e. explanation techniques, adversarial attacks etc.), and AI for Climate.
|Sep, 2020||I started my Computer Science PhD at Princeton University in the Princeton NLP group!|
|Sep, 2020||I interned at Xilinx where I worked on accelerating BERT with TVM on VTA.|
|Aug, 2020||Paper on Generative Modeling for Atmospheric Convection got accepted to Climate Informatics 2020.|
|Oct, 2019||AllenNLP Interpret demo paper accepted to EMNLP 2019 (Best Demo Award) & NeurIPS 2019|
|Sep, 2019||I interned at Microsoft on the Azure Stack team.|