Experience

1. Scientist, Ultrasound AI

   Philips Research June 2020 – Present
   • Developed deep learning algorithms for Philips’ Lumify portable ultrasound system.
   • Led AI solutions for pleural abnormalities detection in real-time ultrasound.
   • Spearheaded internal validation efforts for FDA 510(k) submission.
   • Published 5 peer-reviewed papers and filed a related patent.

2. Research Assistant

   Rochester Institute of Technology January 2020 – May 2020
   Researched multi-spectral aerial image segmentation using deep learning, funded by L3Harris.

3. R&D Intern – AI Image Analysis

   Philips Research September 2019 – December 2019
   Designed and implemented a 3D CNN for quantitative lung ultrasound analysis, achieving 90% accuracy in B-line detection.

4. Research Intern – Clinical Informatics

   Philips Research May 2019 – August 2019
   Developed synthetic health data generation methods using VAEs and Bayesian Networks for privacy-preserving healthcare solutions.