Encodia
Mariya Chavarha is a seasoned Senior Scientist in Computational Biology at Encodia, where expertise includes developing bioinformatics pipelines for high-throughput screening and custom NGS datasets analysis. Mariya leads the yeast display team, successfully building a robust platform for binder discovery and overseeing two FTEs in experimental subprocess development. Previous experience includes a Postdoctoral Researcher role at Google, focusing on machine learning applications in protein engineering and data analytics, along with a Research Scientist Consultant position at Adecco for Google. Educational background features a PhD in Bioengineering from Stanford University and a BA in Chemistry from Lewis & Clark College. Early research roles include contributions to molecular biology, biophysics, and computational chemistry.
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Encodia
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Encodia is a privately held biotechnology company bringing the power of sequencing to proteomics. The company's patented ProteoCode technology enables highly scalable protein analysis via an accessible and easy-to-use benchtop instrument. Tools employing Encodia’s ProteoCode technology will drive new biological understanding with impact in data-driven drug discovery and development, new high complexity diagnostics, and beyond.