Hello, Po-Nan here. Thank you for visiting my blog! I realized that most posts in my blog are primarily written in Mandarin, so this page has been intentionally composed in English.

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About Po-Nan Li

Born and raised in Taiwan, Po-Nan (colloquially as Ponan) is a machine learning engineer at Apple. He specializes Python, C/C++ and Matlab programming for scientific computation and computational imaging. Prior to joining Apple, he received his PhD degree in electrical engineering from Stanford University, where His research interests lied in X-ray and computational imaging, biological computation and machine learning. During 2019 summer, he interned at Google Daydream, where he developed camera calibration instrumentmentation for AR devices. During 2020 fall, he interned at Facebook Reality Labs (now Meta Reality Labs), where he used machine learning to accelerate the waveguide design for AR wearables.

During 2016-2017, Po-Nan served as the Vice President of Stanford Taiwanese Student Association (STSA). Prior to joining Stanford, he has earned his bachelor’s and master’s degrees from National Tsing Hua University (NTHU), Taiwan.

關於作者

本站由李柏南編輯製作。現居美國加州，美國史丹佛大學電機博士。灣區哲學星期五共同發起人、冷知識網站每日一冷編輯暨網站工程師。資料視覺化網站台灣公民投票 2018共同製作人。

Projects

Research

  • Protein structure deternination by machine learning (2019-present) [Preprint] [Code]
  • Real- and reciprocal-space hybrid imaging with coherent illumination (2015-2020) [Preprint]
  • Reaction-diffusion simulation of the modulation by charged archaeal S-layer (2016-2019) [ISME Paper] [JPCB Paper] [SLAC News]
  • Applications of empirical ensemble mode decomposition (2012-2015) [Paper] [Code]
  • Template method for X-ray diffraction imaging (2012-2015) [Paper]
  • Selective excitations of localized surface plasmons in designed nanostructures (2010-2012) [Paper] [Thesis]

Course Projects

Open-source programs

Websites