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.

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 (