I’m open to mentor early career (MSc/PhD) students to guide them in their own research topics. Please contact me with your CV and brief description of the research problem (no need to write an elaborate plan) you are interested in, and I’ll get back to you. You can check out my publications page to understand my area of expertise, to evaluate where I can guide you the best.


  • Kexin (Nicole) Liang, 2021-present
  • Shanya Sharma, 2020-2022
  • Manan Dey, 2020-2022


  • Towards Reproducible Machine Learning Research in Natural Language Processing, ACL 2022 (Website, ACL Anthology)
  • Towards Reproducible Machine Learning Research in Information Retrieval, SIGIR 2022 (Conference Website)

Public Talks

  • Panelist, Reproducibility and Rigor in ML, ML Evaluation Standards Workshop at ICLR 2022, April 2022
  • Evaluating Logical Generalization with Graph Neural Networks, Weights and Biases Salon, (Online) May 2020
  • ML Reproducibility - From Theory to Practice

Conference Organization

Workshop Organization

Reproducibility Challenge Organization

Conference Volunteering

  • NeurIPS 2018, Montreal, Canada
  • MAIS 2018, Montreal, Canada
  • ICWSM 2017, Montreal, Canada

Teaching Assistantship