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Curriculum Vitae

EDUCATION

 

California Institute of Technology (Caltech), Pasadena, CA USA

  • Doctor of Philosophy, Geophysics, June 2017                                                                                         

  • Master of Science, Geophysics, June 2015   

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University of California, Los Angeles (UCLA), CA USA

  • Bachelor of Science, Geology (summa cum laude), June 2012

 

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RESEARCH EXPERIENCE

 

Senior Scientist & Manager, Interdisciplinary Spectroscopy, Terramera & Miraterra, Mar 2023 - Present​

Scientist & Team Lead, Interdisciplinary Spectroscopy, Terramera & Miraterra, Jan 2023 - Mar 2023

  • Developing cutting-edge technologies for the agtech industry with the mechatronics, machine-learning and computational chemistry teams

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Computational Geochemist, Terramera, Sep 2021 - Dec 2022

  • Investigated mineral-associated organic matter and carbon storage mechanisms in agricultural soils using computational chemistry models and experiments

 

Postdoctoral Researcher, ENS Lyon, CNRS, Nov 2017 - Aug 2021​

  • Modeling the behavior carbon, hydrogen and trace elements after the Moon-forming impact using ab initio molecular dynamics simulations

                                                                                      

Postdoctoral Researcher, Caltech, Jun - Nov 2017​

  • Performed synchrotron diamond-anvil cell experiments on high-pressure polymorphs of ferrosilite   

 

Graduate Research Assistant, Caltech, 2012 - 2017​

  • Investigated planetary materials using experimental and computational methods. Performed synchrotron diamond anvil cell experiments and density function theory calculations on carbonates, oxides and silicates                                                                                   

Division Analytical Facility Assistant, Caltech, 2015 - 2017​

  • Assisted users with the scanning electron microscope and electron microprobe                                                                                      

Undergraduate Research Assistant, UCLA, 2010 - 2012​

  • Density functional theory calculations of carbonates and silicate perovskites                                                                                        

Laboratory Assistant, Thermoluminescence Laboratory, UCLA, Summer 2011​

  • Infrared stimulated luminescence measurements on quartz and feldspar grains                                                                           

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TEACHING EXPERIENCE

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Guest Lecturer at École Normale Supérieure de Lyon

  • Mineral Physics II, October 2020

 

Adjunct Professorship at Occidental College

  • Earth Materials Lecture, Fall 2015

  • Earth Materials Laboratory, Fall 2015

 

Teaching Assistantships at Caltech

  • Mineralogy Lecture, Fall 2016

  • Mineralogy Physical Laboratory, Fall 2016

  • Mineral Physics, Winter 2016

  • Spectroscopy of Minerals, Spring 2014

  • Analytical Techniques Laboratory, Winter 2013

 

Tutorial Leader Position at The Learning Academic Resource Center at UCI

  • Calculus, Fall 2009

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ANALYTICAL AND EXPERIMENTAL METHODS

 

  • Scanning electron microscopy (SEM)

  • Electron microprobe analysis (EMPA)

  • Vibrational spectroscopy (IR/Raman)

  • Laser-heated diamond anvil cell experiments (LH-DAC)

  • Nuclear resonant inelastic X-ray scattering (NRIXS)

  • Time-domain synchrotron Mössbauer spectroscopy (SMS)

  • Single-crystal and powder X-ray diffraction (XRD)

 

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COMPUTATIONAL METHODS

 

  • Density functional theory (ABINIT, QE, VASP, GAUSSIAN)

  • Molecular dynamics simulations (VASP, QE)

  • Atomistic simulations based on force fields (GULP)

  • Phonon calculations (PHONOPY)

  • Structure search with particle swarm optimization (CALYPSO)

  • Structure search with Darwinian evolution (USPEX)

  • Post-processing and data analysis (Python)

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DATA ANALYSIS SKILLS

 

  • Regression analysis and statistics

  • Data cleaning, transformation and normalization
  • Code development (Python, C++, Matlab)
  • Code and data management (Gitlab, Github, LakeFS)
  • High-performance computing (slurm, PBS)
  • Automated pipeline workflow (Python, bash)

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