San Jose, California, United States
I received my Ph.D. in the Medical Engineering and Medical Physics (MEMP) program at the Harvard-MIT division of Health Sciences and Technology (HST). I completed my technical concentration in Electrical Engineering at MIT and clinical coursework at Harvard Medical School. I worked on computational imaging through optical waveguides in the Wellman Center for Photomedicine at Mass. General Hospital (MGH). Specifically, I developed label-free imaging through optical multimode fibers, which offers microscopic resolution in an ultrasmall footprint, suitable for the visualization of otherwise unreachable anatomical sites. Before my Ph.D. study, I completed my MS in Optoelectronics and BS in Electrical Engineering at National Taiwan University, where I had research experience in ultrafast optics and multi-photon fluorescence and photoacoustic microscopy. I have hard skills in the design, simulation, implementation, and automation of optical imaging and sensing systems such as endoscopes and microscopes. I have expertise in computational reconstruction, which involves matrix factorization, inversion techniques, and optimization problems. In addition, I have strong knowledge and hands-on experience with camera characterization, wave-front shaping, solid state lasers, optical modulation, lock-in detection, circuit design and soldering, and chemical etching.
1. Researched and developed wafer-level photonic IC devices characterization systems 2. Brought up new wafer-level high-speed measurement systems (PNA, LCA, BERT, DCA, DC/RF probers) 3. Innovated electro-optic measurement techniques/algorithms (fiber array probes, TE/TM wave reconstruction, optical damage, nonlinearity, PD BW/responsivity, S param, NRZ/PAM4 eye diagram) 4. Drove new product device test plans and contributed IP developments 5. Delivered experimental results and analysis to support design learning of optical I/O chips and multi-channel lasers
1. Advanced tester prototypes for III-V multi-wavelength laser bring-up experiments and production screening of NPI products (LIV, IV, OS, LW, and RIN readouts) from bare die to module 2. Developed laser test station optimization and automation with robotic material handling, control systems of lab equipment with high-speed synchronization, and data collection pipeline 3. Initiated a new control algorithm to balance powers and wavelengths in a multi-wavelength laser 4. Led staff members and technicians in troubleshooting and improving test processes
1. Designed, prototyped, tested, and spec’d RGB camera for MR features in VR headsets 2. Project-managed cross-functional teams (EE, ME, OE, MDE/MTE, PD, SW) and led manufacturing partners on hardware DFM, NPI line bring-up, capability improvement, camera IQ assessment, and FA 3. Established automated camera lab test systems and analysis tools for the evaluation of spectral response, depth of field, SNR, and focus error in MR cameras on Meta Quest Pro and Meta Quest 3 headset
1. High-resolution imaging through hair-thin optical waveguides for endoscopic applications - Enabled label-free, multi-contrast, and scalable 3D imaging through a single optical multimode fiber (MMF) by computational reconstruction - Created a parametric MMF dispersion model and computational spectral memory effect for 25 times more efficient spatiospectral channel reconstruction - Developed an optimization-based proximal calibration method towards flexible MMF endoscopy - Demonstrated the intrinsic symmetry of bi-directional light transmission through complex media imposed by optical reciprocity - Built numerical models of complete vectorial-field transmission through MMFs 2. Long coherence length ranging with a single MMF for depth sensing - Reached micron-scale resolution over centimeter-long range in axial reflectivity profiling utilizing modal dispersion in a single MMF
1. Developed automatic brain tumor contouring system with deep-learning approaches 2. Applied transfer learning to deep-learning based tumor segmentation on clinical liver CT images
Correlated light transmission through a graded-index MMF (GI-MMF) with distributed fiber strain measured by optical frequency domain reflectometry (OFDR)