Hi there! I’m a third-year PhD student at New York University’s Center for Data Science (CDS) where I am advised by Sam Bowman. My research is in on machine learning and natural language processing, with a focus on crowdsourcing high-quality datasets. You can reach me at nikitanangia@nyu.edu.

In 2018, I got my Masters degree in Data Science at NYU. Prior to that, I did R&D for a few year at a start-up (which no longer exists) after graduating from the University of Chicago in 2013 with a Bachelor’s in Physics. While in the Physics world, I studied and researched in experimental high energy.

Here’s my Google scholar for an up-to-date list of publications.

Selected publications

CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
Nikita Nangia, Clara Vania, Rasika Bhalerao, Samuel R. Bowman. Proceedings of EMNLP. 2020

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman.
Proceedings of NeurIPS. 2019.

Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
Nikita Nangia and Samuel R. Bowman.
Proceedings of ACL. 2019. [poster]

ListOps: A Diagnostic Dataset for Latent Tree Learning
Nikita Nangia and Samuel R. Bowman.
Proceedings of the NAACL Student Research Workshop. 2018.

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams, Nikita Nangia, and Samuel R. Bowman.
Proceedings of NAACL. 2018.

The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations
Nikita Nangia, Adina Williams, Angeliki Lazaridou, and Samuel R. Bowman.
Proceedings of the 2nd Workshop on Evaluating Vector-Space Representations for NLP. 2017.