TE-HSIN CHEN

Highly motivated and collaborative machine learning engineer. Experience with machine learning in image for fully automated system and co-development of phantom SDK for python with Vision Research Inc. 3+ years of data analysis and image processing in academia.

  Taipei, Taiwan      

Skills

Programming skills


  • Python
  • Labview
  • ImageJ
  • Micromanager
  • HTML/CSS

Professional skills


  • Image Processing
  • Graphical User Interface
  • Machine Learning
  • Data analysis
  • Optics

Language


  • Chinese — Native
  • English — Fluent

Work Experience

August 2019 - Present

Research assistant   Academia Sinica

  • Rewrote an algorithm to speed up the whole automated process which leads to saving 42% of time.
  • Developed a fully automated system with image segmentation and classification using deep learning.
  • Developed a GUI using tkinter for real-time image processing on camera to foresee statistical results.
  • Applied data analysis and image processing on video to reveal the signal of 5nm nano-particles.
  • Built an optical system to study gold nano-particles as small as 5 nm using camera.

July 2018 - July 2019

Alternative military service  Fire department

  • Developed a calm, strict and helpful personality.
  • Executed hundreds of firefighting services and provided dozens of emergency medical services.
  • Worked in a highly collaborative team under high-pressure environment.

Education

September 2016 - June 2018

National Cheng Kung University 

Physics

  • GPA: 4.11/4.3
  • Awards: The Phi Tau Phi Scholastic Honor Society
  • Experienced with signal analysis and theoretical modeling.
  • Built an optical system for detecting cold atoms with camera.

Publications 

  • Quantitative Imaging of Single Light-Absorbing Nanoparticles by Widefield Interferometric Photothermal Microscopy, ACS Photonics 2021, 8, 2, 592-602
  • Polarization dependence of 133Cs 6S1/2-6P3/2-11S1/2 electromagnetically induced transparency at room temperature, Opt. Express 28, 26313-26323 (2020)

Recommendations


Dr. Chia-Lung Hsieh

Associate research fellow, IAMS, Academia Sinica


Prof. Chin-Chun Tsai

Director, Science and Technology Division


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