About me
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.
Experience
Camera Machine Learning Engineer
Apple
2021-Present
Machine learning solutions for camera hardware design and image quality analysis.
Research Intern
Facebook Reality Labs
2020
Machine learning frameworks for accelerated nanostructure waveguide design.
Hardware Engineering Intern
Google
2019
Algorithm development and camera calibration instrumentation for VR/AR technologies.
Publications
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)
New J. Phys. 18, 083025 (2016)
New J. Phys. 16, 033016 (2014)
Opt. Lett. 36, 2339-2341 (2011)
Projects
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.
Leadership
Regional Director
Coordinated meal, accomadation and venue logistics for a 4 day conference with more than 100 international attendees.
Vice President
Co-led the 100+ member organization and held events for the biggest Taiwanese community in the Silicon Valley.