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Resume

Education

2021 - present

Massachusetts Institute of Technology

PhD Candidate, Physics Department

Advisor: Lindley Winslow

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2021

Stanford University

B.S. in Physics

Minor in Theater and Performance Studies

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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:

  • 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: 

DMRadio logo

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.

Publications: 

ABRACADABRA logo

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.

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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)

rydberg atoms

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)

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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)

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2017-2019

Awards

2021

2021

2021

Stanford Major Grant

2017, 2016

Stanford Physics Research Grant

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NSF Graduate Research Fellowship

Hoefer Prize for Undergraduate Writing

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