Junhao Su
Hong Kong Island, Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolJunhao Su is a senior research scientist and bioinformatics researcher with 11 years of experience applying algorithm development and statistical analysis to complex genomics data. He holds a PhD in Computer Science from the University of Hong Kong and specializes in ONT long-read and NGS data analysis, having published in outlets such as Nature Computational Science and NAR Genomics and Bioinformatics. Junhao has transitioned between academia and industry roles—postdoc and honorary research positions at HKU and a senior role at Insilico Medicine—bringing research-grade methods into translational and product-focused environments. He codes primarily in Python, C and R, builds data visualization tools for genomic insights, and has a track record of developing practical algorithms that improve accuracy and efficiency for clinical and research workflows. Notably, his work emphasizes harnessing third-generation sequencing to solve medically relevant problems, bridging raw long-read signal processing with downstream analytical utilities.
11 years of coding experience
Exchange Student, Computer Science and Engineering, Exchange Student, Computer Science and Engineering at National Chiao Tung UniversityThe University of Hong Kong (HKU)Master of Engineering - MEng, Computer Science and Technology, Master of Engineering - MEng, Computer Science and Technology at Harbin Institute of Technology
Chinese, English, Chinese
Github Skills (33)
relation-extraction10
package-management10
conda10
bioinformatics10
genomics10
computational-biology10
illumina10
bioconda10
training-data9
deep-learning8
live-preview8
venn8
matplotlib-venn7
venn-diagram7
sequencing6
Programming languages (9)
Github contributions (5)
sujunhao/experiment
Mar 2015 - Jul 2015
Contributions:30 commits, 25 pushes, 1 branch in 4 months
HKU-BAL/Clair3-Trio
Mar 2022 - Dec 2022
Clair3-Trio: variant calling in trio using Nanopore long-reads
Contributions:65 commits, 116 pushes, 3 branches in 9 months
bioinformaticsnanoporedeep-learningcomputational-biologygenomics
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