About Me

Work Experience

2020 - Present

Working with the Apple Vision Pro display team to continue, delivering the highest resolution silicon-based μOLED technology for AR/VR applications.
Designed and optimized iPhone 14/Pro OLED Displays, contributing to the industry-leading dynamic island feature.
Integrated machine learning models into optical simulations and metrology for enhanced calibration and performance.
Collaborated with cross-functional teams, component vendors, and CMOS foundries to advance next-gen AR/VR technologies through comprehensive NTI, RFI, and RFP processes.

2016 - 2020

Developed photoacoustic image sensors for deep-brain imaging, achieving 10x better resolution compared to electrode-based probes.
Designed and tested a micro-spectrometer for aerosol and bio-particle analysis, enabling point-of-care diagnostics.
Utilized deep learning models (GANs and CNNs) for the inverse design of micro-optic components.
Created a semi-automated workbench for optical imaging and testing of silicon photonic chips.

2015 - 2016

Conducted groundbreaking research on transrectal ultrasound and photoacoustic probes for co-registered anatomical and functional prostate imaging.
Designed and tested capacitive MEMS ultrasound transducers, enhancing sensitivity and SNR for medical imaging applications.
Improved the sensitivity and responsiveness of MEMS-based sensors for microphones and accelerometers.

2014 - 2016

Pioneered the design and analysis of MEMS capacitive microphones with compliant diaphragms.
Participated in multidisciplinary research combining mechanical engineering with optical and electrical systems.

2016 - 2020

Specialization in Optical Engineering with a Minor in Electrical Engineering and Computer Science.
Thesis: "Bio-Photonics Integrated Circuits for Sensing and Imaging Applications".
Key Coursework: Machine Learning, Deep Learning, Optics, Nanophotonics, Medical Device Design, and Computational Signal Processing.
Relevant Skills: Silicon Photonics, AR/VR Optics, Sensor Fusion, Electromagnetic Simulations (Lumerical FDTD, COMSOL), and Product Prototyping.

2012 - 2016

Graduated with a Gold Medal for academic excellence, ranking top among 850 students.
Thesis: "MEMS Capacitive Microphone Design for Enhanced Sensitivity and Responsivity".
Relevant Skills: MEMS Technology, Nanofabrication, and Interdisciplinary System Design.

I bring a diverse skill set encompassing optical design, numerical modeling, image processing, and machine learning. My expertise extends to product development, project management, and technical leadership, underpinned by a deep understanding of optical principles and their practical implementation.