Jesse Mu

I am a first-year CS PhD student at Stanford University. I'm interested in operationalizing language for machine learning. This involves (1) building machines that can learn from (and teach with) language and interactive dialog, and (2) using language as a structured and compositional guide for non-linguistic tasks. I'm also broadly interested in machine learning for art, music, and design. I am supported by a NSF GRFP.

Previously, I received an MPhil in Advanced Computer Science from the University of Cambridge, supervised by Ekaterina Shutova and supported by a Churchill Scholarship. Before that, I was an undergrad at Boston College, where I worked in the Language Learning Lab with Joshua Hartshorne and Timothy O'Donnell.

I've also spent time with the Computational Intelligence Group at the Technical University of Madrid, the MIT Computational Cognitive Science Group, and Alexa AI (formerly Alexa Machine Learning).

News

  • (February 2019) Late-breaking work on restricted natural language interfaces with Advait Sarkar accepted to CHI'19. (preprint)

Publications

Journal articles

The Meta-Science of Adult Statistical Word Segmentation: Part 1
Joshua K. Hartshorne, Lauren Skorb, Sven L. Dietz, Caitlin R. Garcia, Gina L. Iozzo, Katie E. Lamirato, James R. Ledoux, Jesse Mu, Kara N. Murdock, Jon Ravid, Alyssa A. Savery, James E. Spizzirro, Kelsey A. Trimm, Kendall D. van Horne, Juliani Vidal
Collabra: Psychology 5(1):1, 2019

Parkinson's Disease Subtypes Identified from Cluster Analysis of Motor and Non-motor Symptoms
Jesse Mu, Kallol R. Chaudhuri, Concha Bielza, Jesus de Pedro-Cuesta, Pedro Larrañaga, Pablo Martinez-Martin
Frontiers in Aging Neuroscience 9:301, 2017

Conference papers

Evaluating hierarchies of verb argument structure with hierarchical clustering
Jesse Mu, Joshua K. Hartshorne, Timothy O'Donnell
Empirical Methods in Natural Language Processing, 2017