Jesse Dodge

Jesse Dodge

PhD, Carnegie Mellon University
Google Scholar Page

I earned my PhD in Spring 2020 from the LTI at CMU, though I've spent most of the last few years visiting 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, and I will be running the upcoming NLP Reproducibility Challenge. You can read more in our guest post on the EMNLP blog.
I was one of the organizers for the Retrospectives workshop at ICML 2020. We accept retrospectives year round, so consider submitting!
I'll be an area chair for the upcoming Green NLP track at EACL.