- A 24-dimensional & unbinned measurement of Z+jets events (2024)
- Evidence of VH, H → ττ (2023)
- xVal: A continuous numerical encoding for LLMs (2023)
- Finding Stellar Streams (2023)
- Point Cloud AI Methods for Pion Reconstruction (2022)
- PirouNet: Creating dance through artist-centric deep learning (2022)
- Symmetry Group Equivariant Architectures for Physics (2022)
- EA ArtsIT 2022 Best Paper Award (PirouNet)
Research Experience
- Assistant Professor at the University of Wisconsin-Madison, Department of Physics
- Leads multiple research projects related to AI in physics and art
Background
An Assistant Professor of Physics at the University of Wisconsin-Madison, leading a group of researchers designing new AI methods to enable discoveries in particle physics and astrophysics. Also a performing artist engaged in contemporary dance and theater, generating choreography with AI models trained on her own movements and integrating these models within her artistic practice.
Miscellany
- Participated in various art projects such as mememormee (2023), Kinetech Arts Shows (2022), etc.
- Interviewed on the Cognicast podcast about her research across AI, physics, and the performing arts (2022)
- Gave a talk at the StrangeLoop conference on AI, dance, and the creative process (2021)
- An AI-generated birdsong project featured in a 1-hour pop-up exhibit (2021)
- As an intern with Intel's AI Lab, developed a Graph Neural Network to learn a latent graph representation of her dancing body (2020)
- Mirror Exercise: An AI-generated duet with herself (2020)
- SIGMA: A short film of entirely AI-generated movements (2019)
- Beyond Imitation: Led a research project using variational autoencoders to generate choreography (2019)