Machine Learning x Photonics

Waveguide (WG) Data Analyst- Working with a cross-functional group to deliver build reports on WG image quality data and WGphysical parameters- Helping to root-cause issues with metrology and process toolsOptical Critical Dimension Metrology- Built a tool to back-calculate diffractive grating structures from spectroscopic measurements- Work resulted in patent applicationWaveguide (WG) Defectivity Detection- Trained a machine learning model to segment and classify defects in images of WGs

Worked with Ofer Levi's group to advance biomedical imaging, one integrated photonic sensor at a time- Silicon Photonics Design and Layout (Lumerical, KLayout, Calibre)- Measurement Automation (MATLAB, Python)Laid the foundation for a Quantum Network with Li Qian's GroupDeveloped a machine learning technique to derive entanglement witnesses- scikit-learn, tensorflowSubcontractor on two SBIR grants: - Radiation Dosimetry using Fluorescent Nanoparticles (NIH SBIR, Phase I) - Astronaut Health Lab-on-a-Chip (NASA SBIR, Phase II) - Used Nonsequential Ray-Tracing to model light transport and fluorescence in tissue

Worked with Lu Deng and E.W. Hagley to help demonstrate a high-precision atomic magnetometer.Worked with Alan Migdall to build a robust and self-aligning bulk-crystal-based source of entangled photons.