Summary
Meng Wu is a Senior Scientist I in Computational Biology with 11 years of experience applying genomics, evolutionary genetics, and genome editing expertise to IND-enabling studies and novel technology development. At Editas Medicine she designs and implements reproducible, scalable bioinformatics pipelines and bespoke tools to evaluate efficacy and safety of gene-editing therapeutics across short- and long-read platforms, single-cell and bulk assays. Proficient in Python, R, Bash, SQL and cloud/container workflows (AWS, Docker, Git, Conda), she bridges computational rigor with experimental teams to translate complex sequencing data into actionable decisions. Her PhD in Evolutionary Biology and Bioinformatics underpins a knack for creative algorithmic solutions and assembly work demonstrated earlier in a Genentech project assembling a high-quality Indian cobra genome. Based in Cambridge, MA, she combines meticulous documentation and communication skills with a track record of prototyping new editing approaches that accelerate program milestones.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Plant Sciences, 3.5, Bachelor of Science (B.S.), Plant Sciences, 3.5 at Sichuan Agricultural University
Doctor of Philosophy (Ph.D.), Evolutionary Biology and Bioinformatics, 4.0, Doctor of Philosophy (Ph.D.), Evolutionary Biology and Bioinformatics, 4.0 at Indiana University Bloomington
Master of Science (M.S.), Biology, 3.9, Master of Science (M.S.), Biology, 3.9 at Miami University
English, Chinese