Key accomplishments

Developed a novel algorithm to automate previously manual image analysis and compiled the algorithm in a full-stack solution with interactive features that automated the entire data pipeline.

Successfully developed an analytical solution to characterize the approximation of BCH methods to solve PDEs.

Managed an HPC data pipeline for cryoEM and TEM data (multi-TB per run) and developed solutions to eliminate 3rd party-dependencies and compiled applications to have an in-house machine learning platform used for 3D reconstruction of biological macromolecules from thousands of laboratory images.


Role 1
Machine learning engineer
Role 2
Research scientist
Test Score
AI, Machine learning, Data Science
100%

Unspecified
Any
Junior
United States
Any
NA
Remote

Education

  • October 31 2023 - Present
    Qwasar Silicon Valley

    Certificate in AI/Machine Learning

    Full-time

  • August 1 2015 - May 9 2019
    Texas A&M University

    Bachelor of Science in Physics

    • GPA: 3.81 • Minor: Mathematics • Extracurricular Involvement: NanoLab Biophysics Research (2017 – 2019), Student Instructor (2017 – 2019), Society of Physics Students (SPS) President (2018 – 2019), SPS Academic Director (2017 – 2018), Biomedical Engineering Research (2016 – 2017), Chemistry Stockroom Assistant (2015 – 2016) • Graduate Classes: Mathematical Modeling, Quantum Mechanics, Quantum Optics & Laser Physics • Honors Classes: Advanced Electricity & Magnetism, Advanced Mechanics, Computational Physics, Theory of PDE • Awards: Magna Cum Laude, Faculty’s Choice Student Achievement Award, AB & Hazell H Carter Scholarship, Donald ’53 and Gerald ’54 McClure Scholarship, Judge Marvin Jones Scholarship, Phillip & Doris Moses Ranch Fund Scholarship, Physics Department Scholarship


Experience


Portfolio


Expertise

Machine Learning
100
Data Science
100
Deep Learning
100
Quantitative Research
100

Languages

English

Honors & awards