Chen Shifu
Co-founder & CTO at HaploX Biotechnology
Shenzhen, Guangdong Province, China
Summary
🤩
Rockstar🎓
Top SchoolChen Shifu is a co-founder and CTO with 10+ years of engineering experience building precision medicine technologies at HaploX Biotechnology in Shenzhen. Trained as a PhD in bioinformatics and with a BS in mathematics, he blends deep computational biology expertise with systems engineering honed during a prior role at NVIDIA. An active open-source author, he started the OpenGene project and contributed significant analytics capabilities to the widely used fastp FASTQ preprocessor, extending its statistical reporting in JSON and HTML for large-scale sequencing workflows. Comfortable moving between research-grade algorithms and production software, he focuses on turning complex genomics data into practical, deployable tools that accelerate clinical and research pipelines.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at University of Chinese Academy of SciencesBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Nanchang University
Stackoverflow
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Github Skills (6)
bioinformatics10
c-language10
cprogramming-language10
data-analysis10
json8
html8
Programming languages (13)
Github contributions (5)
OpenGene/fastp
Oct 2017 - May 2022
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:44 releases, 1 review, 367 commits in 4 years 7 months
Contributions summary:Chen's commits primarily focused on adding and implementing statistical analysis features within the fastp repository. This included the development of a Stats class, which likely computes read statistics, and the addition of functions to summarize and report these statistics in both JSON and HTML formats. Furthermore, the user integrated these statistical analyses within the SingleEndProcessor and PairEndProcessor classes for processing single-end and paired-end FASTQ data. These changes suggest a strong focus on extending the functionality of the data preprocessing tool.
ultraadaptertrimmingbioinformaticsduplication
OpenGene/AfterQC
Aug 2015 - Dec 2017
Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
Contributions:17 releases, 191 commits, 2 PRs in 2 years 5 months
quality-controlfastqtrimmingerrorquality
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