I'm a fourth-year undergraduate student at UC Irvine, where I study Computer Science & Engineering. My interests range from Natural Language Processing to Reinforcement Learning and Probabilistic Graphical Models.

I am fortunate to be advised by Professor Sameer Singh, with whom I work on interpretability and robustness of NLP models [1].



  1. AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
    Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, and Sameer Singh.
    Demo at EMNLP 2019, Best Demo Award
    Demo at NeurIPS 2019
    An open-source toolkit built on top of AllenNLP that makes it easy to interpret NLP models.
                Author = {Eric Wallace and Jens Tuyls and Junlin Wang and Sanjay Subramanian and Matt Gardner and Sameer Singh},
                Booktitle = {Empirical Methods in Natural Language Processing},                            
                Year = {2019},
                Title = {{AllenNLP Interpret}: A Framework for Explaining Predictions of {NLP} Models}}



CrowdVision aims to count the number of people in an image taken by a Raspberry Pi, and makes this data available to students in an easy-to-use web app.

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MuseAI uses either a Random Forrest or a Recurrent Neural Network to generate new music similar to the training music given starting notes of variable length.

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