With the training in signal processing and optics, Po-Nan works at the intersection of imaging and machine learning. Having extensive internship experience in the VR/AR industry, Po-Nan now works on smartphone cameras, aiming to make the already amazing cameras in your pocket even better.
Camera Machine Learning Engineer
Machine learning solutions for camera hardware design and image quality analysis.
Facebook Reality Labs 2020
Machine learning frameworks for accelerated nanostructure waveguide design.
Hardware Engineering Intern
Algorithm development and camera calibration instrumentation for VR/AR technologies.
The 20th IEEE International Conference on BioInformatics and BioEngineering (2020)
J. Opt. 22, 115611 (2020)
Proc. Natl. Acad. Sci. U.S.A. 117, 388 (2019)
J. Phys. Chem. B 123, 10331 (2019)
Inverse Problems 35, 9 (2019)
ISME J. 12, 2389 (2018)
Determination of three-dimensional atomic positions from tomographic reconstruction using ensemble empirical mode decomposition
New J. Phys. 18, 083025 (2016)
Method to enhance the resolution of x-ray coherent diffraction imaging for non-crystalline bio-samples
New J. Phys. 16, 033016 (2014)
Subwavelength localization of near fields in coupled metallic spheres for single-emitter polarization analysis
Opt. Lett. 36, 2339-2341 (2011)
Taiwanese Referendum 2018 - An interactive website that visualizes the results of 2018 Referendum in Taiwan. Contributed to data crawling and front-end Development.
CS231n: Peak finding for crystallography - Built and trained a YOLO network that can rapidly locate Bragg peaks on a diffraction image on SLAC's massive SFX data.
EE367: Mountable Dynamic Range Enhancer for Digital Cameras - Built an Arduino-enabled device that can be mounted onto a camera and enhance the photo dynamic range by adaptively modulating a gray-scale LCD.
Coordinated meal, accomadation and venue logistics for a 4 day conference with more than 100 international attendees.
Co-led the 100+ member organization and held events for the biggest Taiwanese community in the Silicon Valley.