I am a research scientist at the
Allen Institute for AI on the
AllenNLP team.
I'm interested in efficiency and reproducibility in natural language processing and machine learning.
My work has been featured in the
New York Times,
Wired, and
Slate, among others (see below).
I created the
NLP Reproducibility Checklist that has been filled out by all submissions to EMNLP 2020, NAACL 2021, ACL 2021, and EMNLP 2021, totaling more than 10,000 submissions. You can read more in
our guest post on the EMNLP blog.
I helped create the
Responsible NLP Checklist, which combines reproducibility and ethics items, that will be filled out by all submissions to ACL Rolling Review.
I have been an organizer for the
ML Reproducibility Challenge in 2020 and 2021, for which I wrote a
blog post describing how to use the challenge as a course project.
I've organized a number of workshops, including ML Retrospectives at
ICML 2020, ML-Retrospectives, Surveys & Meta-Analyses at
NeurIPS 2020,
SMILES (Setting up MachIne Learning Evaluation Standards to accelerate progress) at ICLR 2022, and a tutorial on Reproducibility at ACL 2022.
I've been area chair for various tracks at different conferences, including the Green NLP track at EACL 2021, the Resources and Evaluation track at ACL-IJCNLP 2021, and the Green NLP track at NAACL 2021.
I was senior area chair for the Efficient Methods for NLP track at EMNLP 2021.
I am a Reproducibility Chair at NAACL 2022.
I earned my PhD in Spring 2020 from the LTI at CMU, though I spent much of my PhD as a visiting student at UW CSE in Seattle.
My PhD advisor was
Noah Smith.
As an undergrad I worked with
Luke Zettlemoyer. In 2011 I participated in the
JSALT workshop, where I worked with a host of fantastic people on the
vision and language team (and got a great sweatshirt).
I was a research intern for six months in 2015 at Facebook AI Research in NYC with
Jason Weston and
Antoine Bordes, where I built the
Movie Dialog dataset and the MovieQA dataset.
In the summer of 2018 I interned at Google AI with
Elad Eban, where I worked with the MorphNet team (I got a shoutout in their
blog post).
I worked at the Allen Institute for AI for all of 2019 on the
AllenNLP team.