I am a postdoctoral researcher at the Allen Institute for AI
on the AllenNLP
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.
I'm interested in efficient and reproducible natural language processing and machine learning.
My work has been featured in the New York Times
, and Slate
, among others (see below).
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
I created the Reproducibility Checklist that was be used for submissions to EMNLP 2020
. You can read more in our guest post on the EMNLP blog
I am on the organizing committee for the ML Reproducibility Challenge
in 2020, for which I wrote a blog post
describing how to use the challenge as a course project.
I am one of the organizers for the upcoming Retrospectives workshop
at NeurIPS 2020. Our workshop welcomes submissions of retrospectives, survey papers, or meta-analyses!
I'll be an area chair for the upcoming Green NLP track