Curriculum Vitae

Education


Certifications and Awards


Technical Competencies


Work Experience

Software Applications Engineer, Adaptix Imaging — Oxford, United Kingdom

October 2022 – Present


Software Applications Engineer, Informetric Systems Inc — New Providence, NJ

January 2020 – August 2022


Pharmaceutical Engineer, Aphena Pharma Solutions — Easton, MD

January 2020 – February 2021


Research Experience

Research Assistant, Advanced Imaging Algorithms & Instrumentation Lab — Johns Hopkins University

April 2018 – December 2019


Research Assistant, Myocarditis Lab — Johns Hopkins University

December 2017 – April 2018


Research Assistant, Laboratory of Computational Motor Control — Johns Hopkins University

September 2017 – December 2017


Research Assistant, Neurophysiology Laboratory — Georgia Institute of Technology

September 2013 – July 2017


Coursework

Mechanical Modeling and Design of Biological Systems

Chemistry

Biomedical Engineering Design and Problem Solving

Physiology

Statistics, Computational Modeling, and Applications


Publications


Talks

Conference Presentations

  • Automate the UI Software Using Python
    Conference Presentation

    Verifying performance and safety is critical, but has been a bottleneck in the medical software release process. UI software testing, being the most complex and integrated component, has traditionally been tested manually. Because the UI software is constantly updated, building automated UI testing solutions (TAS) for continuous verification offers significant benefits — reducing manual labor and human errors, enabling early detection of software issues, and strengthening the robustness of the development lifecycle.

    This presentation introduces a **readable and maintainable Python-based automation framework** for medical imaging applications that emulates user interactions, communicates with external web APIs, performs data validation, records test evidence, and generates comprehensive test reports.

    Zenodo Record | Video Presentation


  • Presentations & Posters

  • Automated UI Software Testing for Medical Imaging
    RSLondon Southeast, Imperial College London — Best Poster Award

    Developed an automated UI software testing framework designed for medical imaging applications. Presented as a technical poster at RSLondon Southeast and recognized with the **Best Poster Award** for innovation in healthcare software testing and automation.

    Zenodo Record


  • Teaching


    Service and Leadership