Helping build a practical photonic quantum computer.

Launched optimization runs for integrated photonic devices using large-scale physics simulationson Google infrastructure. Analyzed results and communicated insights and learningswith the team. Wrote software to improve existing optimization algorithms and loss functions.

Theory and experimental verification of fast and energy-efficient neural network chips using nanophotonics, with applications in sensing, telecommunications, machine learning hardware, and cryptography. Backed by electromagnetic simulations and machine learning/optimization tools, our chips promise significant cost + energy savings in AI or any application that requires analog signal processing.

Helping to build the engine behind a personal AI recruiter.

Developing quality assurance tools for stem cell therapy for stress urinary incontinence treatment as part of a project funded by the California Institute of Regenerative Medicine.

Developed software for cell tracking and migratory data analysis using OpenCV and image processing algorithms.

Developing IT tools to improve large-scale medical physics operations using machine learning and optimization ideas.