I'm a physicist & Chamberlain Postdoctoral Research Fellow at Lawrence Berkeley National Lab building new AI tools to help scientists make discoveries in particle physics and astrophysics.

I'm also a performing artist engaged in contemporary dance and theater.

Since 2017, I've led independent teams of researchers to generate choreography with AI models trained on my own movements.

CV

I received my PhD in Physics at Yale University, where I specialized in high-energy particle physics and studied the Higgs boson at the Large Hadron Collider at CERN.

My thesis work with the ATLAS Experiment at CERN involved the search for a rare interaction with the Higgs boson decaying to a pair of tau particles.


  • PhD in Physics, Yale University (May 2021)
  • MASt in Physics, University of Cambridge, Trinity College (2015)
  • AB in Physics & Mathematics, Harvard University (2014)


Publications

  • A. Bogatskiy, S. Ganguly, T. Kipf, R. Kondor, D. W. Miller, D. Murnane, J. T. Offermann, M. Pettee, P. Shanahan, C. Shimmin, and S. Thais. Symmetry Group Equivariant Architectures for Physics. Snowmass 2021 White Paper. (2022).
  • Mariel Pettee. Interdisciplinary Machine Learning for Particle Physics. [PhD Thesis, Yale University]. (2021).
  • Mariel Pettee, Santiago Miret, Somdeb Majumdar, and Marcel Nassar. Choreo-Graph: Learning Latent Graph Representations of the Dancing Body. NeurIPS Workshop on Machine Learning for Creativity and Design. (2020).
  • Mariel Pettee, Chase Shimmin, Douglas Duhaime, and Ilya Vidrin. Beyond Imitation: Generative and Variational Choreography via Machine Learning. Proceedings of the 10th International Conference on Computational Creativity. (2019).
  • Co-writer & editor, Expected Performance of the ATLAS Detector at the High-Luminosity LHC, 2019.
  • Full list of papers with the ATLAS collaboration.
  • Recent Updates

    Cognicast Interview

    2022

    An interview on the Cognicast podcast, hosted by technologist and musician Robert Randolph, about my research across AI, physics, and the performing arts.

  • Episode webpage
  • Listen on Apple Podcasts
  • Dancing With Myself

    2021

    A talk at the StrangeLoop conference in St. Louis, MO, on AI, dance, and the creative process.

    Untitled AI Birdsong Project

    2021

    A 1-hour pop-up exhibit featuring AI-generated bird calls situated in nature.

  • Artist notes
  • Choreo-Graph

    2020

    As an intern with Intel's AI Lab, I developed a Graph Neural Network to learn a latent graph representation of my dancing body.

  • Github repository
  • Paper
  • Mirror Exercise

    2020

    An AI-generated duet with myself.

    Featured at the 2020 NeurIPS AI Art Gallery, the AI Governance Forum, and the Boston Cyberarts Gallery (cancelled due to COVID-19).

    SIGMA

    2019

    A short film of entirely AI-generated movements.

    Featured at the 2019 NeurIPS AI Art Gallery for the Workshop on ML for Creativity and Design.

    Beyond Imitation

    2019

    I led a research project using variational autoencoders to generate choreography.

  • Paper
  • Website with interactive demo
  • Github repository
  • Feature in YaleNews
  • Live performance featuring Raymond Pinto
  • First work-in-progress performance at Yale
  • Published in the proceedings of the International Conference on Computational Creativity (ICCC '19).