Adaptive Biotechnologies
Rebecca Elyanow is a Senior Computational Biologist at Adaptive Biotechnologies Corp., where leadership in computational research projects focuses on autoimmune diseases, particularly through the development of machine learning models for diagnostic and therapeutic target identification from immune sequencing data. Prior experience includes a PhD candidacy at Brown University, where research involved algorithms for RNA-seq data analysis and creating machine learning models for transcriptomics. Additional roles include a research internship at Sage Bionetworks, where algorithms for Alzheimer's disease research were developed, and as a visiting researcher at EPFL, contributing to the Blue Brain Project's neuron morphology synthesis. Education includes a PhD and MS from Brown University in Computational Biology and Computer Science, and a BS in Computational Biology from Carnegie Mellon University.
Adaptive Biotechnologies
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Adaptive Biotechnologies is a pioneer and leader in immune-driven medicine that aims to improve people’s lives by learning from the wisdom of their adaptive immune systems. Adaptive’s proprietary immune profiling platform reveals and translates insights from our adaptive immune systems with unprecedented scale and precision.