Rebecca Elyanow
Assoc. Principal Computational Biologist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRebecca Elyanow is an Associate Principal Computational Biologist with a decade of experience applying machine learning and probabilistic methods to immune sequencing and transcriptomics data. At Adaptive Biotechnologies she has led projects that identify T-cell signatures for infectious and autoimmune diseases, including COVID-19, celiac disease, type 1 diabetes, rheumatoid arthritis, and multiple sclerosis. Her PhD in Computational Biology and Computer Science from Brown under Ben Raphael produced tools for linked-read variant calling (NAIBR), single-cell and spatial transcriptomics analysis, and TensorFlow-based models—skills she now translates into diagnostic and therapeutic target discovery. She combines deep algorithmic foundations with practical product-focused modeling, and her background synthesizing neuron morphologies and generative cellular images reveals a long-standing interest in biologically realistic simulation beyond standard sequencing analysis. Based in Seattle, she bridges academic rigor and industry impact to push immune-driven precision medicine forward.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Computational Biology, Doctor of Philosophy (PhD), Computational Biology at Brown UniversityBachelor of Science (BS), Computational Biology, Bachelor of Science (BS), Computational Biology at Carnegie Mellon University
Github Skills (34)
decomposition9
imputation9
spatial-transcriptomics9
isbn9
tsne8
orange8
dimensionality-reduction7
reduction7
genomes7
regularization7
transcriptomics7
spatial6
vcenter5
sequence5
bioinformatics5
Programming languages (7)
Github contributions (5)
raphael-group/netNMF-sc
Nov 2018 - Aug 2019
netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
Contributions:12 commits, 13 pushes, 1 branch in 9 months
imputationdecompositionorangedimensionalitydimensionality-reduction
raphael-group/STARCH
Apr 2020 - Jun 2020
Spatial Transcriptomics Algorithm Reconstructing Copy-number Heterogeneity
Contributions:16 commits, 15 pushes, 1 branch in 1 month
spatial-transcriptomicsspatialcopy-numberheterogeneitytranscriptomics
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.