Nae-Chyun Chen

Resume (PDF), CV (PDF), updated: May 15th, 2022

Experience

  • Staff Software Engineer, Computational Genomics (2024)
    Senior Software Engineer, Computational Genomics (2023-2024)
    Software Engineer, Computational Genomics (2022-2023)
    Exai Bio, California, USA
    • Develop novel computational methods for a cell-free RNA-based platform for early cancer detection.
    • Develop R&D and production bioinformatics pipelines.
    • Write design documents.
    • Integrate features and metadata for Exai's core machine learning models.
    • Analyze sequencing datasets to evaluate sequencing assays.
  • Research Intern & Student Researcher (2020)
    Google, Remote, USA
    DeepVariant Team (Brain Genomics), Google Health
  • Technical Intern (2016)
    Synopsys, California, USA
    IC Compiler II (ICC2) Team

Education

  • PhD in Computer Science (2018-expected 2022)
    Johns Hopkins Unversity, with Dr. Ben Langmead
  • MS in Electronics Engineering (2015-2017)
    BS in Electrical Engineering and BA in Economics (2010-2015)
    National Taiwan University (NTU), MS with Dr. Yi-Chang Lu
  • Exchange student (2014)
    University of Illinois at Urbana-Champaign

Skills

  • Languages: Mandarin (traditional), English, Taiwanese
  • Progamming languages: Python, R, C++, C, Rust
  • Hardware description language: Verilog
  • Tools: git, Latex, Bash, Snakemake, unittest, Docker, make, cmake

Teaching

  • Undergraduate Researcher Mentor (2022)
    Advised Steven Solar (senior undergrad at JHU) to develop a data-driven model to predict sequence mapping quality.
  • Internship Mentor (2019)
    Advised Sheila Iyer (high-school intern) to study the reference bias of genomic sequence alignment. The work became part of a research paper and won regional science fair.
  • Teaching Assistant
    JHU: Sketching and Indexing (2021)
    NTU: Data Compression (2015) (grad-level), Computer Architecture (2016, 2017) (upper undergrad)

Podcast

I co-host the "生技來一刻" podcast (in Mandarin) to interview experts in biotech to discuss career and technological advancements. Out podcast channel has 100+k all-time downloads.