Jingwen Ren
PhD Candidate
Los Angeles, California, United States
Summary
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Top SchoolJingwen Ren is a PhD candidate in Computational Biology and Bioinformatics at USC with eight years of experience applying machine learning and deep learning to genomics and real-world product problems. He has blended academic rigor—4.0 GPA in his PhD and a near-perfect MS in Computer Science—with industry experience at Meta and TikTok, working on ads retrieval, multi-stage ranking, and e-commerce risk control. Comfortable translating complex algorithms into production systems, he has contributed to large-scale recommendation and risk pipelines in high-throughput environments. Jingwen’s background in mathematics and strong academic performance underpin a quantitative approach to biological signal discovery and model design. Colleagues describe him as equally at home prototyping novel computational methods and optimizing models for latency-sensitive product settings.
7 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology and Bioinformatics, 4.0/4.0, Doctor of Philosophy - PhD, Computational Biology and Bioinformatics, 4.0/4.0 at University of Southern CaliforniaBachelor of Science - BS, Mathematics, 3.67/4.0, Bachelor of Science - BS, Mathematics, 3.67/4.0 at Sichuan University
Github Skills (32)
blast10
package-management10
conda10
bioinformatics10
bioconda10
caller9
structural-variation9
rust9
bam8
sequencing7
fasta6
htslib6
genomics5
pipeline5
simulator5
Programming languages (5)
Github contributions (5)
ChaissonLab/vamos
Dec 2021 - Jan 2023
VNTR annotation using motif selection
Contributions:3 releases, 152 commits, 42 pushes in 1 year 1 month
ChaissonLab/LRA
Aug 2018 - Sep 2022
Long read aligner
Contributions:15 releases, 391 commits, 307 pushes in 4 years 1 month
rustaligneralignmentbioinformaticslong
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