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.

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Recent Publications

Please see my Google Scholar page for a more complete publication list.

Measurement of VH, H →ττ

2023

The ATLAS Experiment's first measurement of this rare process of the Higgs boson decaying into two tau leptons.

  • arXiv
  • ATLAS Paper
  • xVal

    2023

    A continuous numerical encoding for LLMs.

  • arXiv
  • Blog Post
  • Code
  • Twitter Thread
  • Finding Stellar Streams

    2023

    Using AI to identify remnants of ancient galaxies that can help map dark matter in the Milky Way, all without explicit labels.

  • arXiv
  • MNRAS
  • Twitter Thread
  • Point Cloud AI Methods for Pion Reconstruction

    2022

    Using Transformer, Deep Sets, and Graph Neural Network architectures to process pion calorimeter clusters and particle tracks as point clouds.

  • ATLAS Experiment PUB Note
  • PirouNet

    2022

    Creating dance through artist-centric deep learning with a semi-supervised conditional recurrent variational autoencoder.

  • arXiv
  • EA ArtsIT 2022 Best Paper Award
  • Code
  • Twitter Thread #1
  • Twitter Thread #2
  • Symmetry Group Equivariant Architectures for Physics

    2022

    We argue that the introduction of symmetries into an AI model's fundamental structural design can yield models that are more economical, interpretable, and/or trainable.

  • arXiv
  • Snowmass 2021 White Paper
  • Recent Artwork

    mememormee

    2023

    An AI-generated dance experiment and artistic residency at Amherst College.

  • Spotlight presentation at the NeurIPS 2023 Workshop on ML for Creativity & Design.
  • Kinetech Arts Shows

    2022

    I was a dancer in two performances by Kinetech Arts inspired by entropy, AI, and technology.

  • Sublimation, at David Ruth Glass Studio, Oakland, CA.
  • Detour, at Zellerbach Playhouse, Berkeley, CA.
  • 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.

  • Code
  • NeurIPS Workshop on ML for Creativity and Design
  • 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.

    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.

  • arXiv
  • International Conference on Computational Creativity
  • Website with interactive demo
  • Code
  • 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).