Experience

Turing Medical

• United States
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Research Scientist

  • Nov 2023 - Present



Washington University in St. Louis

• United States
• Higher Education
• 700 & Above Employee

• Ph.D. Candidate in Biomedical Engineering

  • Aug 2018 - Nov 2023

  - Developed new methods for correcting susceptibility artifacts in echo planar imaging data for functional MRI studies. - Developed Docker containerized structural and functional MRI pre-processing pipelines for functional connectivity analysis. - Developed visualization software for investigating spatial changes to functional connectivity across brain surfaces. - Used Generative Adversarial Networks to generate synthetic images for fMRI pre-processing applications. - Developed new methods for correcting susceptibility artifacts in echo planar imaging data for functional MRI studies. - Developed Docker containerized structural and functional MRI pre-processing pipelines for functional connectivity analysis. - Developed visualization software for investigating spatial changes to functional connectivity across brain surfaces. - Used Generative Adversarial Networks to generate synthetic images for fMRI pre-processing applications.



University of Pennsylvania Perelman School of Medicine

• Higher Education
• 700 & Above Employee

• Visiting Scholar

  • Jun 2023 - Aug 2023



Washington University School of Medicine in St. Louis

• Hospitals and Health Care
• 700 & Above Employee

• Neuro Imaging Research Technician

  • Aug 2016 - Aug 2018

  - Worked on analysis pipelines for structural and functional MRI data for neuroimaging studies using various programming languages, including (but not limited to) Python, C/C++, MATLAB, Javascript (Node.js), and Bash. - Developed a head motion tracking system for both functional and structural data in MR scanners (i.e. Framewise Integrated Real-Time MRI Monitor (FIRMM)), resulting in a technology patent and spin-off startup company. - Created containerized applications using Docker… Show more - Worked on analysis pipelines for structural and functional MRI data for neuroimaging studies using various programming languages, including (but not limited to) Python, C/C++, MATLAB, Javascript (Node.js), and Bash. - Developed a head motion tracking system for both functional and structural data in MR scanners (i.e. Framewise Integrated Real-Time MRI Monitor (FIRMM)), resulting in a technology patent and spin-off startup company. - Created containerized applications using Docker. Developed tools for deployment on cloud based services (e.g. AWS, Heroku). Show less - Worked on analysis pipelines for structural and functional MRI data for neuroimaging studies using various programming languages, including (but not limited to) Python, C/C++, MATLAB, Javascript (Node.js), and Bash. - Developed a head motion tracking system for both functional and structural data in MR scanners (i.e. Framewise Integrated Real-Time MRI Monitor (FIRMM)), resulting in a technology patent and spin-off startup company. - Created containerized applications using Docker… Show more - Worked on analysis pipelines for structural and functional MRI data for neuroimaging studies using various programming languages, including (but not limited to) Python, C/C++, MATLAB, Javascript (Node.js), and Bash. - Developed a head motion tracking system for both functional and structural data in MR scanners (i.e. Framewise Integrated Real-Time MRI Monitor (FIRMM)), resulting in a technology patent and spin-off startup company. - Created containerized applications using Docker. Developed tools for deployment on cloud based services (e.g. AWS, Heroku). Show less



Texas A&M University

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Researcher

  • Jan 2012 - May 2014

  - Developed control system for a custom Reflectance Confocal Microscopy imaging system using NI LabView. - Developed an image segmentation algorithm for segmenting cell nuclei in Reflectance Confocal Microscopy images using machine learning techniques. - Developed control system for a custom Reflectance Confocal Microscopy imaging system using NI LabView. - Developed an image segmentation algorithm for segmenting cell nuclei in Reflectance Confocal Microscopy images using machine learning techniques.



The National Institutes of Health

• United States
• Biotechnology Research
• 700 & Above Employee

• Summer Intern

  • Jun 2013 - Aug 2013

  - Examined mitochondrial function in the substantia nigra as a potential biomarker for Parkinson's Disease using 31-P Chemical Shift MRI data. Wrote an automated analysis pipeline in MATLAB. - Examined mitochondrial function in the substantia nigra as a potential biomarker for Parkinson's Disease using 31-P Chemical Shift MRI data. Wrote an automated analysis pipeline in MATLAB.



Saint Louis University

• United States
• Higher Education
• 700 & Above Employee

• Summer Intern

  • May 2011 - Aug 2011

  - Conducted experiments optimizing a proof-of-concept dual-wavelength glucose biosensor design by synthesizing and testing various chemical compositions. - Conducted experiments optimizing a proof-of-concept dual-wavelength glucose biosensor design by synthesizing and testing various chemical compositions.