Experience

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  Cardiovascular Data Science (CarDS) Lab

  • Machine Learning Researcher

    • Aug 2021 - Present

    Using machine learning to diagnose cardiovascular diseases from ECG signal and image data.Developing novel noise-augmentation techniques for wearable-adapted training of ECG signal models.Khunte A et al. Detection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices https://www.nature.com/articles/s41746-023-00869-w

• 

  Yale University School of Medicine

  • United States
  • Research Services
  • 700 & Above Employee

  • Wiznia Lab — Public Health Research Assistant

    • Jun 2019 - May 2024

    Working to identify treatment disparities between Medicaid and privately insured patients at Urgent Care Centers in all fifty US states; using JMP statistical analysis software to analyze collected data and discern patterns and statistically significant results; currently publishing new research paper on access to testing for COVID-19.

  • deGraaf Lab — Magnetic Resonance Research Assistant

    • Jun 2017 - Aug 2020

    Using MATLAB and Magnetic Resonance Imaging data analysis software to improve spectroscopic image analysis to increase the accuracy and speed of brain tumor detection; developing software dedicated to mapping of tumor progression and simulating Nuclear Magnetic Resonance (NMR) experiments to reduce the time, manpower, and cost of NMR data acquisition.

• 

  Liminal Sciences, Inc.

  • Guilford, Connecticut, United States

  • Machine Learning Intern

    • Jun 2021 - Aug 2021
    • Guilford, Connecticut, United States

    Worked on the development of time-series classification and regression models for an ultrasound-based brain imaging device.