Experience

• George Mason University

  Undergraduate Research Assistant

  I conducted research in the Neuro-Imaging lab on the relationship between changes in facial skin color and heartrates to aid in Army operations, such as interrogation and battlefield scanning. Leveraged data to formulate a predictive model in Python that could calculate subject’s heartrate variability, blood pressure, and detect stress. Development of a novel method for measuring cardiac biosignals using image analysis. Conducted experiments on test subjects, set up data acquisition software, and analyzed resulting data.

• George Mason University

  Undergraduate Research Assistant

  Analyzed medical data collected by research teams at UNICAMP Brazil, to test the effectiveness of a chemical convulsant, Pentylenetetrazol (PTZ). Leveraged an empirical approach to scrub raw data; to remove incorrect or incomplete data points. Developed a novel seizure-detection algorithm, and machine learning architectures in Python which classify EEG data through hierarchical clustering.

• Students as Scholars

  Undergraduate Researcher

  Unique collaboration between the Bioengineering and Dance schools at George Mason University. The goal of the project was to quantitatively measure subject stress through changes in characteristic movement behaviors. Gathered 3D motion data (dance movements) by utilizing an OpiTrack motion capture system with over 20 cameras. Coordinated with the Institutional Review Board (IRB) to ensure the research methods remained compliant.

• Lantern Systems LLC

  Embedded Machine Learning Engineer

  Training machine learning algorithms to operate on remote host devices.