Jesse Dodge

Jesse Dodge

PhD Student, Carnegie Mellon University
Email: or
Google Scholar Page

I'm a senior PhD student in the LTI at CMU, though I spend most of my time at UW CSE in Seattle. I'm interested in efficient machine learning and natural language processing methods, and in reproducibility in machine learning. My work has been featured in the New York Times, Wired, and Slate, among others (see below). My PhD advisor is 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 will be used for submissions to EMNLP 2020.
I'm one of the organizers for the upcoming Retrospectives workshop at ICML 2020. Consider submitting a retrospective!