Nitish Joshi

Nitish Joshi
Nitish Joshi

PhD Student
Courant Institute
New York University

I'm a first-year PhD student in computer science at New York University's Courant Institute of Mathematical Sciences advised by Prof. He He. I work on Machine Learning and Natural Language Processing, and I am affiliated with the Machine Learning for Language (ML2) research group which is part of the larger CILVR Lab.

My current research interests broadly lie in robust language understanding and building resource-efficient NLP models. My research is graciously supported by a NSF Graduate Research Fellowship.

Previously, I spent four amazing years as an undergraduate at IIT Bombay where I majored in Computer Science and Engineering. I did a few years of research at the CSALT Lab working with Prof. Preethi Jyothi . I've also spent time at NEC Labs Princeton and UNC Chapel Hill where I worked with Prof. Mohit Bansal.

Email: /

Links: [CV] [Twitter] [Github] [Google Scholar]

Recent News

  • (8/2020) Started as a PhD student at NYU Courant working in the ML2 group
  • (4/2020) I've been awarded the National Science Foundation Graduate Research Fellowship!
  • (1/2020) Paper on accent adaptation for speech recognition accepted to ICASSP 2020
  • (7/2019) Presented two papers on Multi-hop Reading Comprehension and Cross-lingual question generation at ACL 2019 in Florence, Italy



  • Coupled Training of Sequence-to-Sequence Models for Accented Speech Recognition
    Vinit Unni*, Nitish Joshi*, and Preethi Jyothi.
    ICASSP 2020
    [bib] [abstract]


  • Explore, Propose and Assemble: An Interpretable Model for Multi-hop Reading Comprehension
    Yichen Jiang*, Nitish Joshi*, Yen-Chun Chen and Mohit Bansal
    ACL 2019
    [bib] [abstract] [code]

  • Cross-lingual Training for Automatic Question Generation
    Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, and Preethi Jyothi.
    ACL 2019
    [bib] [abstract] [dataset]


  • In my free time, I like to go for a run or cook. I also like bird watching and photography.
  • The source code for this website was borrowed from Nelson Liu (