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Ph.D.

• Electrical and Computer Engineering

M.S.

• Materials Science and Engineering

B.S.

• Materials Science and Engineering, minor in Mathematics.

Optical Simulation Engineer

• Worked on PVH waveguide related design and optimization.

Postdoctoral Fellow

• Developed metabox, a multi-scale optimization framework for diffractive optical systems.

Research Scientist Intern

• Developed sampling, suorrogate modeling, and optimization pipelines for diffractive optics.

Graduate Research Assistant

• Broadband Thermal Meta-optics - Employed an inverse-design framework to create broadband meta-optics operating in the long-wave infrared (LWIR) regime (8-12 μm).
• Optical Neural Network - Designed an incoherent optical neural network capable of classifying MNIST characters using a meta-optical doublet.
• Meta-optical Fiber Endoscope - Designed large meta-optics for real time full-color imaging in a meta-optical fiber endoscope.
• Polarization Sensitive Foveated LWIR meta-optics - Designed polarization sensitive meta-optics in the LWIR regime, which has polarization multiplexed focal lengths.
• All-silicon LWIR Metalens - Built a metalens imaging platform in the long wavelength infrared (LWIR).
• Inverse Designed Achromatic LWIR - Inverse designed an achromatic LWIR imaging system, which is currently being fabricated. The optimization of the optics is enabled by techniques such as automatic differentiation and deep learning.
• Liquid Crystal Tunable Metasurface - Designed metasurfaces with tunable functionalities such as notch filters and beam steering using liquid crystal. Fabricated these metasurface for liquid crystal integration.
• Extended Depth of Focus Metasurface - Built an achromatic imaging platform combining the form factor of ultra-thin metasurface and computational imaging. This imaging system utilizes the extended depth of focus (EDOF) property to enable full-color imaging.
• Forward Designed Composite Metasurface - Developed a doublet metasurface fabrication process flow. Designed metasurface doublets using Zemax. Developed python script to automate optimization and analyses on Zemax.
• Simulation Parallelization - Developed pipelines to run RCWA and FDTD simulations on the UW high performance computing cluster to considerably speed up the simulation workflows.

Trainee

• Developed Thermoelectric Materials Artifical Neural Network (TEMANN), a python package that can be used to predict Seebeck coefficients for novel materials.
• Completed courses on various topics concerning artificial neural networks including architectures, hyper-parameter tuning, regularization, optimization, etc.

Teaching Assistant

• Held quiz sections and office hours for EE215 and EE299.

President

• Organized weekly meetings, and coordinated out reach events.

metabox

• A multi-scale differential optimization framework for diffractive optical systems.

• Best Applied Research, ECE, UW

• Livingston Wernecke Memorial Scholarship, UW
• James I. Mueller Scholarship, UW

• Composers Guild 44th Annual Composition Contest, Utah
• Utah Best of Young Composer & 2nd Prize & Best of Age Group, Utah

• National Scholastic Art & Writing Silver Medalist, New York
• Utah State Math Contest 1st Team Award & Finalist, Utah