cv
Table of contents
General Info
Full Name | Benjamin Cohen-Stead |
benwcs@gmail.com |
Education
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2016 - 2022 Ph.D. in Physics
University of California, Davis - Advisor: Professor Richard Scalettar
- Thesis: A hybrid quantum Monte Carlo method for electron-phonon models
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2010 - 2014 B.A. in Physics
Whitman College
Experience
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2024 - present Research Assistant Professor
University of Tennessee, Knoxville - Department of Physics and Astronomy
- Located at IAMM (Institute for Advanced Materials and Manufacturing)
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2022 - 2024 Postdoctoral Researcher
University of Tennessee, Knoxville - Department of Physics and Astronomy
- Member of Professor Steve Johnston's research group.
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2020 - 2022 Graduate Student Researcher
Los Alamos National Laboratory - Project: Langevin Methods for Quantum Electron-Phonon Simulations
- Mentored by Dr. Kipton Barros as part of UC-National Lab In-Residence Graduate Fellowship.
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2016- 2022 Graduate Student Researcher
University of California, Davis - Graduate student researcher in Professor Richard Scalettar's research group. My work focused on the development and application of quantum Monte Carlo methods for simulating model Hamiltonians describing electron-phonon interactions.
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2014 - 2016 Associate Data Scientist
Picarro, Inc. - Member of R&D team developing detection and attribution algorithms for methane pipline leaks in urban areas. Responsibilities focused on data-driven algorithm and software development.
Grants and Awards
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2024-2029 Scientific Software Research Faculty (SSRF) Award
Simons Foundation - Project: User-friendly and extensible quantum Monte Carlo related tools for solving low-energy effective models
- Principal Investigator: Benjamin Cohen-Stead
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2020-2022 UC-National Lab In-Residence Graduate Fellowship
- Project: Langevin Methods for Quantum Electron-Phonon Simulations
- Mentor: Dr. Kipton Barros
Patents
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2021 Aggregate leak indicator display systems and methods
Picarro, Inc. - US Patent Number: 10962437
- Inventors: Anders Nottrott, Sean MacMullin, Sze M. Tan, Benjamin Cohen-Stead, Chris W. Rella
Open Source Software
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2023 - present SmoQyDQMC.jl
SmoQySuite - Software package performing determinant quantum Monte Carlo simulations for Hubbard and electron-phonon models.
- Registered Julia package.
- Documentation link.
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2024 - present SmoQySynthAC.jl
- Software package to generate synthetic noisy correlation data to resemble what might be generated by a quantum Monte Carlo simulation.
- Registered Julia package.
- Documentation link.
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2023 - present SmoQyHankelCorrCleaner.jl
SmoQySuite - Software package for denoising imaginary-time correlation data using the Hankel projection method.
- Registered Julia package.
- Documentation link.
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2022 - present JDQMCFramework.jl
SmoQySuite - A utility package exporting core routines needed to implement a deterimant quantum Monte Carlo code.
- Registered Julia package.
- Documentation link.
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2022 - present JDQMCMeasurements.jl
SmoQySuite - A utility package exporting routines for making a variety of correlation measurements in a determinant quantum Monte Carlo simulation.
- Registered Julia package.
- Documentation link.
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2022 - present StableLinearAlgebra.jl
SmoQySuite - A utility package exporting optimized numerical stablization routines required to implement a determinant quantum Monte Carlo code.
- Registered Julia package.
- Documentation link.
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2022 - present Checkerboard.jl
SmoQySuite - A utility package exporting the checkerboard approximation for representing exponentiated kintetic energy matrices associated with tight-binding models.
- Registered Julia package.
- Documentation link.
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2022 - present LatticeUtilities.jl
SmoQySuite - A lightweight utility package for representing arbitrary lattice geometries.
- Registered Julia package.
- Documentation link.
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2022 - present MuTuner.jl
- A utility package export the algorithm introduced in Phys. Rev. E 105, 045311 for dynamically tuning the chemical potential during a grand canonical Monte Carlo simulation in order to achieve a target particle density.
- Registered Julia package.
- Documentation link.