Summary
Shayna Simonstein is a Principal Scientist and computational biologist in Boston with 10 years of experience applying statistical and machine learning methods to cancer biology and drug discovery. With a PhD in Biostatistics and a background in applied math, she builds predictive models and quantitative pipelines for sequencing, proteomics, and chromatin datasets while partnering closely with wet lab teams. Her work spans academic modeling of tumor evolution and clinical translational projects, including PK/PD integration and mechanism-focused modeling of CDK inhibitors. Uncommonly for a computational scientist, she has hands-on experience developing mouse-derived organoid models, enabling her to bridge experimental design and computational analysis end-to-end. At Frontier Medicines and prior companies she has led biomarker and patient-selection hypothesis generation, and she’s published and presented modeling and tumor-evolution studies from her Harvard doctoral work.
10 years of coding experience
8 years of employment as a software developer
High School Diploma, High School Diploma at Torrey Pines High School
Doctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at Harvard University
University of California, Los Angeles
American Sign Language