Summary
Qingying Meng is a Senior Bioinformatics Scientist in San Diego with over a decade of multidisciplinary experience translating multi-omics data into drug discovery decisions. She has driven target identification, biomarker discovery, and NGS pipeline automation across industry leaders including Avidity Biosciences, Ferring, BASF and translational labs, blending computational methods (network biology, machine learning) with practical infrastructure like web browsers and microservices. Her background spans academia to industry—from GWAS and systems biology at UCLA to engineering metagenomics and regulatory analyses—enabling her to assess model translatability and prioritize go/no-go targets. Known for mentoring and building internal graph databases, she pairs deep algorithmic know-how with a knack for making complex data actionable for cross-functional teams. Off the bench, she’s a self-described “Coding Jedi” and proud mom of a mini-programmer, hinting at both a playful curiosity and a commitment to developing future technologists.
4 years of coding experience
9 years of employment as a software developer
- B.Sc., Biochemistry, - B.Sc., Biochemistry at Nanjing University
Ph.D., Molecular and Cellular Biology, Ph.D., Molecular and Cellular Biology at National University of Singapore