Summary
Dongshunyi Dora is an Eric and Wendy Schmidt Center Postdoctoral Fellow with nine years of quantitative research and data science experience spanning academia and industry. Trained in computational biology (PhD, CMU) and biostatistics (Duke), she combines deep statistical modeling—predictive modeling, boosting, SVMs, time-series and experiment design—with practical software skills in Python, R, SAS, SQL, PostgreSQL and AWS. She has built production-oriented tools such as a Flask/PostgreSQL web app for marketing campaigns and implemented large-scale genomics pipelines on high-performance clusters. Her work bridges hypothesis-driven biological research and deployable analytics, exemplified by k-mer modeling of TF-DNA binding and synthetic mutation generation for WGS studies. Colleagues rely on her ability to translate complex experimental designs into reproducible analyses and scalable software.
9 years of coding experience
8 years of employment as a software developer
High school diploma, High school diploma at Chengdu No.7 High School
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Carnegie Mellon University
Hong Kong University of Science and Technology (HKUST)
Master of Biostatistics School of Medicine, Master of Biostatistics School of Medicine at Duke University
Exchange program, Exchange program at University College Utrecht
English, Chinese, Chinese