# Bing W.

> Computational Biology | Software engineer | Genomics | Synthetic biology

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/bingw

Motivated and detail oriented computational biologist with extensive expertise in leveraging computational, ML and DL techniques for the analysis of biological data, including RNA-seq, genome assembly and annotation, BCA analysis, Microbiome and antibody discovery. Solid foundation in molecular and synthetic biology, with hands-on skills in protein expression and interactions, NGS library preparation, genetic engineering of bacteria and filamentous fungi, and the biosynthesis of natural products. Skilled in Python, R, and Shell scripting, and experienced in using Nextflow to develop and optimize bioinformatics pipelines for efficient data processing and analysis

## Work Experience
### Bioinformatics software engineer @ Oregon State University
Jan 2024 – Present

### Antibody discovery/Bioinformatics @ Scripps Research
Jan 2023 – Jan 2024

### Scientist @ Actym Therapeutics, Inc.
Jan 2022 – Jan 2023 | Berkeley, California, United States

### Scientist, Lab Automation @ Complete Genomics Inc.
Jan 2021 – Jan 2022 | San Jose, California, United States

### Project Scientist @ Berkeley Lab/ JGI
Jan 2018 – Jan 2021 | Berkeley, California, United States
• Developed CRAGE/CRAGE-Duet tools to domesticate no-model bacteria
• HPT multi-step BGC pathway assembly and strain engineering
• Created promoter mutation library to discover different promoter mutants by FACS sorting
• Characterized product yield in engineered strains by HPLC-MS and colorimetric assay


## Education
### Master of Science - MS in Computer Science
Georgia Institute of Technology

### Doctor of Philosophy - PhD in Biotechnology
Shanghai Jiao Tong University


## Contact & Social
- LinkedIn: https://linkedin.com/in/bing-w-7598aa156

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Source: https://flows.cv/bingw
JSON Resume: https://flows.cv/bingw/resume.json
Last updated: 2026-03-23