Jesse Dodge

I am a postdoctoral researcher at the Allen Institute for AI on the AllenNLP team. 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, Wired, 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 team.

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 at EACL.