Resume
Education
2021 - present
Massachusetts Institute of Technology
PhD Candidate, Physics Department
Advisor: Lindley Winslow
2021
Stanford University
B.S. in Physics
Minor in Theater and Performance Studies
Research Experience
2021 - Present
DMRadio is a suite of experiments searching for sub-eV axion dark matter. I performed the vibration analysis of the DMRadio-m^3 copper coaxial pickup to characterize major noise sources in the lumped element detector. I am designing and building thermo-mechanical supports for 1 Tesla toroidal magnet in DMRadio-50L. I am developing software infrastructure to both calibrate DMRadio-50L detector and collect data.
Presentations:
-
Patras (2025) DMRadio Status and Novel ABRACADABRA Analyses Including ML
-
Berkeley Axion Workshop (2025) Analysis and Denoising Techniques for DMRadio
-
UCLA Dark Matter Conference (2025) DMRadio-50 L
-
APS April Meeting (2024) Calibrating the DMRadio-50L Detector
-
NeurIPS Machine Learning for Fundamental Sciences Workshop (2023) Long Time Series Data Release from Axion Dark Matter Experiment
-
CMB Core to Core Conference (2023) Calibrating DMRadio-50L and ABRACADABRA-10cm
-
UCLA Dark Matter Conference (2023) Calibrating the DMRadio-50L Detector
-
TAUP (2023) Calibrating the DMRadio Axion Dark Matter Detectors
Publications:
2021 - Present
ABRA is an axion haloscope currently searching for both axion dark matter and high frequency gravitational waves. I operate the experiment in the cryogenic dilution refrigerator. I lead the calibration team, designing hardware and software to characterize our detector. Additionally, I lead the AIRES (AI for Rare Event Searches) on the ABRA data -- applying machine learning techniques to time series dark matter data.
Presentations:
-
NeurIPS (2025) TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising
Publications:
2020
The HPS experiment is an accelerator search for dark photons as a dark matter candidate. I performed an analysis for the Strongly Interacting Massive Particle (SIMP) alternative dark matter candidate. I designed a phenomenology based cut algorithm to distinguish Monte Carlo simulated SIMP data and background. I performed tracking analysis to determine track reconstruction algorithm with highest signal purity.
2020
The Schleier-Smith Lab assembles highly entangled states of laser-cooled atoms to understand many body quantum systems. I applied machine learning and CRAB optimization techniques to classical and quantum optimization problems in lab. I wrote simulation and optimization scripts in Python to optimize the transport of cold atoms with a dipole beam between experimental regions.
Presentations:
-
Symposium of Undergraduate Research and Public Service (2020)
-
Awarded Hoefer Prize for Grant Writing (2020)
2017
The ATLAS detector at CERN's Large Hadron Collider is the largest general purpose particle collider detector. I performed a preliminary optimization for emerging jets analysis searching for the dark sector in ATLAS data. I wrote scripts in C++ using ATLAS Root software to create a cutflow for Monte Carlo simulated data and background.
Presentations:
-
Stanford Undergraduate Summer Physics Research Grant Poster Session (2017)
2016
The LZ detector is the largest Weakly Interacting Massive Particle (WIMP) direct dark matter detector. At SLAC, I characterized the cooling power of the liquid xenon cryogenic thermosyphon system. I designed, built, and ran a detector with thermosyphon lines, vacuum chamber, thermometers, and heaters to understand detector failure modes.
Presentations:
-
Conference for Undergraduate Women in Physics (2017)
2017-2019
Awards
2021
2021
2021
Stanford Major Grant
2017, 2016
Stanford Physics Research Grant
NSF Graduate Research Fellowship
Hoefer Prize for Undergraduate Writing
2026
Forbes 30 Under 30, Science
